{"id":4997,"date":"2022-04-07T00:00:59","date_gmt":"2022-04-06T23:00:59","guid":{"rendered":"https:\/\/mbioworks.com\/?p=4997"},"modified":"2023-04-20T12:18:25","modified_gmt":"2023-04-20T11:18:25","slug":"faq","status":"publish","type":"post","link":"https:\/\/mbioworks.com\/?p=4997","title":{"rendered":"FAQ"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"4997\" class=\"elementor elementor-4997\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-063f7e7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"063f7e7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-454d41e\" data-id=\"454d41e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-97f2a1a elementor-widget elementor-widget-text-editor\" data-id=\"97f2a1a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.11.5 - 14-03-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#818a91;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#818a91;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<h5>General<\/h5>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-474f978 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"474f978\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4207754\" data-id=\"4207754\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-68d9acd elementor-widget elementor-widget-toggle\" data-id=\"68d9acd\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.11.5 - 14-03-2023 *\/\n.elementor-toggle{text-align:left}.elementor-toggle .elementor-tab-title{font-weight:700;line-height:1;margin:0;padding:15px;border-bottom:1px solid #d4d4d4;cursor:pointer;outline:none}.elementor-toggle .elementor-tab-title .elementor-toggle-icon{display:inline-block;width:1em}.elementor-toggle .elementor-tab-title .elementor-toggle-icon svg{-webkit-margin-start:-5px;margin-inline-start:-5px;width:1em;height:1em}.elementor-toggle .elementor-tab-title .elementor-toggle-icon.elementor-toggle-icon-right{float:right;text-align:right}.elementor-toggle .elementor-tab-title .elementor-toggle-icon.elementor-toggle-icon-left{float:left;text-align:left}.elementor-toggle .elementor-tab-title .elementor-toggle-icon .elementor-toggle-icon-closed{display:block}.elementor-toggle .elementor-tab-title .elementor-toggle-icon .elementor-toggle-icon-opened{display:none}.elementor-toggle .elementor-tab-title.elementor-active{border-bottom:none}.elementor-toggle .elementor-tab-title.elementor-active .elementor-toggle-icon-closed{display:none}.elementor-toggle .elementor-tab-title.elementor-active .elementor-toggle-icon-opened{display:block}.elementor-toggle .elementor-tab-content{padding:15px;border-bottom:1px solid #d4d4d4;display:none}@media (max-width:767px){.elementor-toggle .elementor-tab-title{padding:12px}.elementor-toggle .elementor-tab-content{padding:12px 10px}}.e-con-inner>.elementor-widget-toggle,.e-con>.elementor-widget-toggle{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1091\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-1091\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">What kind of sample do you take?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1091\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1091\"><p>We accept most types of samples as long as they do not pose any health risk to our staff working in the laboratory. In other words, we do not work with samples that potentially contain human pathogens, f.x. fresh saliva swabs from COVID-19 patients. But if such samples are pre-treated with chemical preservation solutions that kill viable entities before being sent to us, we will accept them.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1092\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-1092\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Do you have a minimum quantity requirement for samples?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1092\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1092\"><p>This can vary significantly among different projects. Thus, we avoid proposing a general requirement for all types of samples regarding the sample quantity. We will have a detailed discussion during a project meeting or a general inquiry. As a rule of thumb, 1\/4 to half of a 1.5 mL centrifuge tube of soils or sediments is sufficient.\u00a0 But much more quantity will be required for samples with low microbial cell abundance.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1093\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"tab\" aria-controls=\"elementor-tab-content-1093\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Do you provide any discount for a large project involving hundreds of samples?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1093\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1093\"><p><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\">Yes, but please don&#8217;t hold high expectations. Between 5-10% off is a possible offer we can provide for a large project. Generally, we adopt a transparent pricing policy without discrimination for any customer, whether a big pharma or a startup. So you are clear upfront before contacting us. We always strive to keep the cost for our customers low so that everyone can benefit from technological advances in microbial genomics. Please\u00a0<\/span><a style=\"background-color: #fffefe; font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight );\" href=\"https:\/\/mbioworks.com\/index.php\/contact-us\/\"><span style=\"text-decoration-line: underline;\">contact us<\/span><\/a><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\">\u00a0for a quote on a specific project.<\/span><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1094\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"tab\" aria-controls=\"elementor-tab-content-1094\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Do you use any proprietary software for bioinformatic analysis?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1094\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1094\"><p>No. We only use open-source programs to ensure the reproducibility of our results. All protocols are publicly available on our website, or customers will be referred to original scientific papers. We aim to make all protocols available on our websites and keep them updated over time by following the latest literature.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1095\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"tab\" aria-controls=\"elementor-tab-content-1095\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">How do you count the workdays for a project?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1095\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1095\"><p>We are an international team. The national <a href=\"https:\/\/mbioworks.com\/index.php\/2022\/12\/31\/holidays-2023\/\">holidays<\/a> in Denmark, the UK, and China are considered when counting workdays. Please follow the <a href=\"https:\/\/mbioworks.com\/index.php\/2022\/12\/31\/holidays-2023\/\">link<\/a> to see the holidays for the whole year.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What kind of sample do you take?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>We accept most types of samples as long as they do not pose any health risk to our staff working in the laboratory. In other words, we do not work with samples that potentially contain human pathogens, f.x. fresh saliva swabs from COVID-19 patients. But if such samples are pre-treated with chemical preservation solutions that kill viable entities before being sent to us, we will accept them.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Do you have a minimum quantity requirement for samples?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>This can vary significantly among different projects. Thus, we avoid proposing a general requirement for all types of samples regarding the sample quantity. We will have a detailed discussion during a project meeting or a general inquiry. As a rule of thumb, 1\\\/4 to half of a 1.5 mL centrifuge tube of soils or sediments is sufficient.\\u00a0 But much more quantity will be required for samples with low microbial cell abundance.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Do you provide any discount for a large project involving hundreds of samples?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><span style=\\\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\\\">Yes, but please don&#8217;t hold high expectations. Between 5-10% off is a possible offer we can provide for a large project. Generally, we adopt a transparent pricing policy without discrimination for any customer, whether a big pharma or a startup. So you are clear upfront before contacting us. We always strive to keep the cost for our customers low so that everyone can benefit from technological advances in microbial genomics. Please\\u00a0<\\\/span><a style=\\\"background-color: #fffefe; font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight );\\\" href=\\\"https:\\\/\\\/mbioworks.com\\\/index.php\\\/contact-us\\\/\\\"><span style=\\\"text-decoration-line: underline;\\\">contact us<\\\/span><\\\/a><span style=\\\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\\\">\\u00a0for a quote on a specific project.<\\\/span><\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Do you use any proprietary software for bioinformatic analysis?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>No. We only use open-source programs to ensure the reproducibility of our results. All protocols are publicly available on our website, or customers will be referred to original scientific papers. We aim to make all protocols available on our websites and keep them updated over time by following the latest literature.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"How do you count the workdays for a project?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>We are an international team. The national <a href=\\\"https:\\\/\\\/mbioworks.com\\\/index.php\\\/2022\\\/12\\\/31\\\/holidays-2023\\\/\\\">holidays<\\\/a> in Denmark, the UK, and China are considered when counting workdays. Please follow the <a href=\\\"https:\\\/\\\/mbioworks.com\\\/index.php\\\/2022\\\/12\\\/31\\\/holidays-2023\\\/\\\">link<\\\/a> to see the holidays for the whole year.<\\\/p>\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-608e2f2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"608e2f2\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8df5a04\" data-id=\"8df5a04\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-908da2f elementor-widget elementor-widget-text-editor\" data-id=\"908da2f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h5>DNA Extraction<\/h5>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7e7658c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7e7658c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c91aa87\" data-id=\"c91aa87\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-af880e3 elementor-widget elementor-widget-toggle\" data-id=\"af880e3\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1841\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-1841\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">What if you fail in some samples or produce very little DNA?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1841\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1841\"><p><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\">We usually regard 1\u00a0<\/span><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\">ng\/\u00b5L<\/span><span style=\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\">\u00a0DNA\u00a0 as the minimum acceptable concentration for DNA isolation. We will handle these cases individually. If it is because of human errors that happen during our processing of the samples, we will charge no fees for these samples. We will repeat the whole process on the same sample in such cases. If it still does not work out well, we will conclude that the submitted samples are unsuitable for DNA isolation using standard protocols, and we will charge a small reagent fee of 30 kr.\/sample. We will do our best to avoid such a situation by carefully examining the samples and consulting with clients for more details about samples before commencing a project.<\/span><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1842\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-1842\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">What methods do you use to extract DNA from microbial and environmental samples?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1842\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1842\"><p>Both column-based and magnetic bead-based DNA extraction methods are widely used for isolating and purifying DNA from various sample types. Each method has its advantages and drawbacks, and the choice between them often depends on factors such as the specific application, desired yield, and purity requirements.<\/p><p>Column-based DNA extraction uses silica spin columns to bind and purify DNA, while magnetic bead-based extraction relies on DNA binding to coated magnetic beads. Both methods provide high yield and purity. Column-based extraction is suitable for small to medium sample sizes but can be challenging to scale up or automate. Magnetic bead-based extraction is well-suited for automation, high-throughput applications, and larger or challenging samples but can be more expensive. The choice depends on factors such as yield, purity, scalability, automation, and cost.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What if you fail in some samples or produce very little DNA?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><span style=\\\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\\\">We usually regard 1\\u00a0<\\\/span><span style=\\\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\\\">ng\\\/\\u00b5L<\\\/span><span style=\\\"color: var( --e-global-color-text ); font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: var( --e-global-typography-text-font-size ); font-weight: var( --e-global-typography-text-font-weight ); background-color: var( --e-global-color-f898f31 );\\\">\\u00a0DNA\\u00a0 as the minimum acceptable concentration for DNA isolation. We will handle these cases individually. If it is because of human errors that happen during our processing of the samples, we will charge no fees for these samples. We will repeat the whole process on the same sample in such cases. If it still does not work out well, we will conclude that the submitted samples are unsuitable for DNA isolation using standard protocols, and we will charge a small reagent fee of 30 kr.\\\/sample. We will do our best to avoid such a situation by carefully examining the samples and consulting with clients for more details about samples before commencing a project.<\\\/span><\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"What methods do you use to extract DNA from microbial and environmental samples?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Both column-based and magnetic bead-based DNA extraction methods are widely used for isolating and purifying DNA from various sample types. Each method has its advantages and drawbacks, and the choice between them often depends on factors such as the specific application, desired yield, and purity requirements.<\\\/p><p>Column-based DNA extraction uses silica spin columns to bind and purify DNA, while magnetic bead-based extraction relies on DNA binding to coated magnetic beads. Both methods provide high yield and purity. Column-based extraction is suitable for small to medium sample sizes but can be challenging to scale up or automate. Magnetic bead-based extraction is well-suited for automation, high-throughput applications, and larger or challenging samples but can be more expensive. The choice depends on factors such as yield, purity, scalability, automation, and cost.<\\\/p>\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7998483 elementor-widget elementor-widget-text-editor\" data-id=\"7998483\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4dd23c8 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4dd23c8\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-358e15e\" data-id=\"358e15e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4bb4046 elementor-widget elementor-widget-text-editor\" data-id=\"4bb4046\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h5>Microbial Genome Sequencing<\/h5>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5a33524 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5a33524\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e8bae4c\" data-id=\"e8bae4c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d8a3181 elementor-widget elementor-widget-toggle\" data-id=\"d8a3181\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2271\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-2271\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Can I close a bacterial genome only with short reads by applying an extremely high sequencing depth, say 1,000x?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-2271\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-2271\"><p>Unfortunately, you can\u2019t. No matter how deep you sequence the genome with short reads methods, you won\u2019t generate a closed genome. Short reads cannot span the repetitive regions longer than the length of the reads themselves. Repetitive sequences are widespread in microbial genomes due to genome evolution. Thus, there are always gaps in short reads-assembled genomes. Most of the gaps are located in the regions containing transposons, phage-related sequences, or genes of recombinases or integrases.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2272\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-2272\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Can Nanopore sequencing technology replace short reads sequencing platforms?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-2272\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-2272\"><p>Maybe in the not-far future but not present. Although Nanopore reads\u2019 accuracy is improving, it is still way below that of short reads generated from Illumina or MGI sequencers. New developments put Nanopore reads into the Q30 category but only on a limited fraction of reads at a small scale and relying on expensive chemistries. The cost-effectiveness of short reads is unmatched. Short NGS reads are often used to polish erroneous Nanopore long reads. Combining Nanopore\u2019s long reads and NGS\u2019s short reads is the best strategy to close a small genome with very high accuracy.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2273\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"tab\" aria-controls=\"elementor-tab-content-2273\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Does your workflow work for yeast, fungi or micro-eukaryotes?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-2273\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-2273\"><p>It is not guaranteed. This workflow was designed using a small bacterial or archaeal genome as a reference. For a larger genome, the sequencing depth should be accordingly higher. Usually, we recommend 50-100x long reads and 200-500x short reads to generate a good hybrid assembly. The more complex a genome is, the more reads are desired. Our experience shows it\u2019s much harder to close a yeast\/fungal\/micro-eukaryote\u2019s genome than a bacterial genome.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Can I close a bacterial genome only with short reads by applying an extremely high sequencing depth, say 1,000x?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Unfortunately, you can\\u2019t. No matter how deep you sequence the genome with short reads methods, you won\\u2019t generate a closed genome. Short reads cannot span the repetitive regions longer than the length of the reads themselves. Repetitive sequences are widespread in microbial genomes due to genome evolution. Thus, there are always gaps in short reads-assembled genomes. Most of the gaps are located in the regions containing transposons, phage-related sequences, or genes of recombinases or integrases.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Can Nanopore sequencing technology replace short reads sequencing platforms?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Maybe in the not-far future but not present. Although Nanopore reads\\u2019 accuracy is improving, it is still way below that of short reads generated from Illumina or MGI sequencers. New developments put Nanopore reads into the Q30 category but only on a limited fraction of reads at a small scale and relying on expensive chemistries. The cost-effectiveness of short reads is unmatched. Short NGS reads are often used to polish erroneous Nanopore long reads. Combining Nanopore\\u2019s long reads and NGS\\u2019s short reads is the best strategy to close a small genome with very high accuracy.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Does your workflow work for yeast, fungi or micro-eukaryotes?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>It is not guaranteed. This workflow was designed using a small bacterial or archaeal genome as a reference. For a larger genome, the sequencing depth should be accordingly higher. Usually, we recommend 50-100x long reads and 200-500x short reads to generate a good hybrid assembly. The more complex a genome is, the more reads are desired. Our experience shows it\\u2019s much harder to close a yeast\\\/fungal\\\/micro-eukaryote\\u2019s genome than a bacterial genome.<\\\/p>\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-257f512 elementor-widget elementor-widget-text-editor\" data-id=\"257f512\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-9c0be6f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"9c0be6f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-393679a\" data-id=\"393679a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6087998 elementor-widget elementor-widget-text-editor\" data-id=\"6087998\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h5>Microbial Community Profiling<\/h5>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-12b43aa elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"12b43aa\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-633b0a8\" data-id=\"633b0a8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a642ada elementor-widget elementor-widget-toggle\" data-id=\"a642ada\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1741\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-1741\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">What are the commonly used regions for bacterial 16S amplicon sequencing?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1741\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1741\"><p>The 16S rRNA gene is approximately 1,500 base pairs long and contains both highly conserved and variable regions, consisting of 9 variable regions (V1-V9) and these regions can be paired in different ways to create amplicons for sequencing. Some of the most commonly used variable regions and their comparisons are:<\/p><p>\u00a0<\/p><p><strong>V1-V3 region:<\/strong><\/p><ul><li>Length: ~500 base pairs.<\/li><li>Taxonomic resolution: Provides good resolution at the genus level.<\/li><li>Primer choice: Well-established primers are available for this region.<\/li><\/ul><p>\u00a0<\/p><p><strong>V3-V4 region:<\/strong><\/p><ul><li>Length: ~460 base pairs.<\/li><li>Taxonomic resolution: Offers good resolution at the genus level and is often considered the &#8220;gold standard&#8221; for 16S rRNA gene amplicon sequencing.<\/li><li>Primer choice: Well-established primers, such as 341F\/805R, are available and provide good coverage across bacterial and archaeal taxa.<\/li><\/ul><p>\u00a0<\/p><p><strong>V4 region:<\/strong><\/p><ul><li>Length: ~250-290 base pairs.<\/li><li>Taxonomic resolution: Provides excellent resolution at the genus level and sometimes at the species level.<\/li><li>Primer choice: Well-established primers, such as 515F\/806R, are available and provide good coverage across bacterial and archaeal taxa.<\/li><li>Compatibility: The short amplicon length is compatible with popular sequencing platforms like Illumina, which is one of the reasons why the V4 region is often preferred for microbial community profiling.<\/li><\/ul><p>\u00a0<\/p><p><strong>V4-V5 region:<\/strong><\/p><ul><li>Length: ~380 base pairs.<\/li><li>Taxonomic resolution: Offers good resolution at the genus level.<\/li><li>Primer choice: Primers targeting the V4-V5 region are available, but they may not provide as comprehensive coverage as those for the V3-V4 or V4 regions.<\/li><\/ul><p>\u00a0<\/p><p>The choice of which variable region(s) to target for 16S amplicon sequencing depends on factors such as the organisms of interest, the desired taxonomic resolution, sequencing platform constraints, and the availability of well-established primers. Additionally, some researchers may choose to sequence multiple variable regions to achieve a more comprehensive understanding of microbial community structure. Ultimately, the selection of variable regions should be tailored to your specific research context and objectives.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1742\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-1742\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">What are the commonly used regions for eukaryotic 18S amplicon sequencing?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1742\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1742\"><p>The 18S rRNA gene is more conserved and longer than the 16S rRNA gene, with a length of approximately 1,800 base pairs. While there are no standard designations for the variable regions in the 18S rRNA gene as there are for the 16S rRNA gene, several regions are commonly targeted for amplicon sequencing:<\/p><p>\u00a0<\/p><p><strong>V4 region:<\/strong><\/p><ul><li>Length: ~400-500 base pairs.<\/li><li>Taxonomic resolution: Provides good resolution at the genus or family level for various eukaryotic taxa.<\/li><li>Primer choice: Well-established primers are available for this region, such as TAReuk454FWD1\/TAReukREV3.<\/li><li>Compatibility: The amplicon length is compatible with popular sequencing platforms like Illumina.<\/li><\/ul><p>\u00a0<\/p><p><strong>V5 region:<\/strong><\/p><ul><li>Length: ~300-400 base pairs.<\/li><li>Taxonomic resolution: Provides moderate resolution at the genus or family level for various eukaryotic taxa.<\/li><li>Primer choice: Primers targeting the V5 region are available, but they may not provide as comprehensive coverage or taxonomic resolution as primers for the V4 or V9 regions.<\/li><\/ul><p>\u00a0<\/p><p><strong>V7 region:<\/strong><\/p><ul><li>Length: ~300-400 base pairs.<\/li><li>Taxonomic resolution: Offers moderate resolution at the genus or family level for various eukaryotic taxa.<\/li><li>Primer choice: Primers targeting the V7 region are available, but like the V5 region, they may not provide as comprehensive coverage or taxonomic resolution as primers for the V4 or V9 regions.<\/li><\/ul><p>\u00a0<\/p><p><strong>V9 region:<\/strong><\/p><ul><li>Length: ~150-200 base pairs.<\/li><li>Taxonomic resolution: Offers good resolution at the genus or family level for various eukaryotic taxa.<\/li><li>Primer choice: Well-established primers are available for this region, such as Euk1391f\/EukBr.<\/li><li>Compatibility: The short amplicon length is well-suited for high-throughput sequencing platforms like Illumina.<\/li><\/ul><p>\u00a0<\/p><p>The choice of which region(s) to target for 18S amplicon sequencing depends on factors such as the organisms of interest, the desired taxonomic resolution, sequencing platform constraints, and the availability of well-established primers. Keep in mind that the 18S rRNA gene is more conserved than the 16S rRNA gene, and in some cases, researchers might target other markers like the internal transcribed spacer (ITS) regions for fungal diversity or 28S rRNA and COI (cytochrome c oxidase subunit I) for specific eukaryotic taxa. As always, the selection of target regions should be tailored to your specific research context and objectives.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1743\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"tab\" aria-controls=\"elementor-tab-content-1743\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">How many tags should I request for my project?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1743\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1743\"><p>The short answer is that it entirely depends on your sample type and project objectives. The number of tags generated from short reads-based amplicon sequencing varies among projects, commonly chosen between 30k, 50k, and 100k. For most sample types, 30k tags work pretty well. You may consider 50k or 100k tags for extremely complex communities like soils or human\/animal guts. But for PacBio long reads-based profiling, the cost increases rapidly if you go beyond the standard 10k CCS reads. Please\u00a0<a href=\"https:\/\/mbioworks.com\/index.php\/contact-us\/\">contact us<\/a>\u00a0for further information.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1744\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"tab\" aria-controls=\"elementor-tab-content-1744\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Which strategy should I choose between short NGS reads and long PacBio reads?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1744\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1744\"><p>Both methods produce highly accurate reads. With long PacBio reads, you get significantly longer 16S\/18S\/ITS fragments than short reads from an Illumina or MGI sequencer. Thus, a higher resolution of resolving microbial community structure can be achieved with PacBio reads, often down to the strain level. But PacBio sequencing is relatively expensive, so the sequencing depth will usually be sacrificed, limiting its ability to address highly complex microbial communities. Regarding turnaround time, a project involving PacBio sequencing takes roughly one more week to complete than that only with NGS.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1745\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"tab\" aria-controls=\"elementor-tab-content-1745\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Which of ITS1 and ITS2 should be chosen for profiling fungal community structure?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1745\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1745\"><p>The choice between using the internal transcribed spacer (ITS) regions ITS1 and ITS2 for profiling fungal community structure depends on the goals of your study and the specific organisms you are interested in. Both regions are widely used as molecular markers for fungal identification and diversity analysis, and they have their respective advantages and disadvantages.<\/p><p>\u00a0<\/p><p><strong>ITS1:<\/strong><\/p><ul><li>Higher variability: ITS1 is usually more variable than ITS2, which can make it a better choice for distinguishing closely related species or strains.<\/li><li>Less prone to co-amplification: ITS1 is less likely to co-amplify plant DNA in environmental samples, which can be an advantage when studying fungal communities in plant-associated environments.<\/li><\/ul><p>\u00a0<\/p><p><strong>ITS2:<\/strong><\/p><ul><li>More conserved secondary structure: ITS2 has a more conserved secondary structure, which can make it easier to design primers and align sequences.<\/li><li>Better reference database coverage: ITS2 often has better coverage in reference databases, which can improve the accuracy and confidence of species identification.<\/li><\/ul><p>\u00a0<\/p><p>Some researchers choose to use both ITS regions to achieve a more comprehensive understanding of fungal community structure. It is important to consider the organisms you are targeting, the goals of your study, and the availability of primers and reference databases when making your decision. Ultimately, the choice between ITS1 and ITS2 will depend on your specific research context and objectives.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1746\" class=\"elementor-tab-title\" data-tab=\"6\" role=\"tab\" aria-controls=\"elementor-tab-content-1746\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">How the difference in the length of fungal ITS1 and ITS2 may affect the results?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1746\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"6\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1746\"><div class=\"flex-1 overflow-hidden\"><div class=\"react-scroll-to-bottom--css-soeod-79elbk h-full dark:bg-gray-800\"><div class=\"react-scroll-to-bottom--css-soeod-1n7m0yu\"><div class=\"flex flex-col items-center text-sm dark:bg-gray-800\"><div class=\"group w-full text-gray-800 dark:text-gray-100 border-b border-black\/10 dark:border-gray-900\/50 bg-gray-50 dark:bg-[#444654]\"><div class=\"text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto\"><div class=\"relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]\"><div class=\"flex flex-grow flex-col gap-3\"><div class=\"min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap\"><div class=\"markdown prose w-full break-words dark:prose-invert light\"><p>The lengths of the internal transcribed spacer (ITS) regions ITS1 and ITS2 can vary between different fungal species and even within a single species due to the presence of insertions, deletions, or other sequence variations. Generally, the ITS1 region is considered to be more variable in length than the ITS2 region. Here are the approximate length ranges for each region:<\/p><p>\u00a0<\/p><p><strong>ITS1:<\/strong><\/p><ul><li>The length of the ITS1 region typically ranges from 100 to 350 base pairs (bp), although in some species, it can extend to over 1000 bp.<\/li><\/ul><p>\u00a0<\/p><p><strong>ITS2:<\/strong><\/p><ul><li>The ITS2 region is generally shorter and more conserved in length, usually ranging from 140 to 300 bp.<\/li><\/ul><p>\u00a0<\/p><p>This variation in length can impact the choice between ITS1 and ITS2 for profiling fungal community structure. Longer and more variable regions, like ITS1, can provide higher resolution for distinguishing closely related species or strains. However, this variability can also make it more challenging to design universal primers or align sequences for phylogenetic analysis.<\/p><p>In contrast, ITS2&#8217;s more conserved length and secondary structure can simplify primer design and sequence alignment. Ultimately, the choice between ITS1 and ITS2 for your study should consider these factors along with the specific organisms of interest and your research goals.<\/p><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What are the commonly used regions for bacterial 16S amplicon sequencing?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>The 16S rRNA gene is approximately 1,500 base pairs long and contains both highly conserved and variable regions, consisting of 9 variable regions (V1-V9) and these regions can be paired in different ways to create amplicons for sequencing. Some of the most commonly used variable regions and their comparisons are:<\\\/p><p>\\u00a0<\\\/p><p><strong>V1-V3 region:<\\\/strong><\\\/p><ul><li>Length: ~500 base pairs.<\\\/li><li>Taxonomic resolution: Provides good resolution at the genus level.<\\\/li><li>Primer choice: Well-established primers are available for this region.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p><strong>V3-V4 region:<\\\/strong><\\\/p><ul><li>Length: ~460 base pairs.<\\\/li><li>Taxonomic resolution: Offers good resolution at the genus level and is often considered the &#8220;gold standard&#8221; for 16S rRNA gene amplicon sequencing.<\\\/li><li>Primer choice: Well-established primers, such as 341F\\\/805R, are available and provide good coverage across bacterial and archaeal taxa.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p><strong>V4 region:<\\\/strong><\\\/p><ul><li>Length: ~250-290 base pairs.<\\\/li><li>Taxonomic resolution: Provides excellent resolution at the genus level and sometimes at the species level.<\\\/li><li>Primer choice: Well-established primers, such as 515F\\\/806R, are available and provide good coverage across bacterial and archaeal taxa.<\\\/li><li>Compatibility: The short amplicon length is compatible with popular sequencing platforms like Illumina, which is one of the reasons why the V4 region is often preferred for microbial community profiling.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p><strong>V4-V5 region:<\\\/strong><\\\/p><ul><li>Length: ~380 base pairs.<\\\/li><li>Taxonomic resolution: Offers good resolution at the genus level.<\\\/li><li>Primer choice: Primers targeting the V4-V5 region are available, but they may not provide as comprehensive coverage as those for the V3-V4 or V4 regions.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p>The choice of which variable region(s) to target for 16S amplicon sequencing depends on factors such as the organisms of interest, the desired taxonomic resolution, sequencing platform constraints, and the availability of well-established primers. Additionally, some researchers may choose to sequence multiple variable regions to achieve a more comprehensive understanding of microbial community structure. Ultimately, the selection of variable regions should be tailored to your specific research context and objectives.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"What are the commonly used regions for eukaryotic 18S amplicon sequencing?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>The 18S rRNA gene is more conserved and longer than the 16S rRNA gene, with a length of approximately 1,800 base pairs. While there are no standard designations for the variable regions in the 18S rRNA gene as there are for the 16S rRNA gene, several regions are commonly targeted for amplicon sequencing:<\\\/p><p>\\u00a0<\\\/p><p><strong>V4 region:<\\\/strong><\\\/p><ul><li>Length: ~400-500 base pairs.<\\\/li><li>Taxonomic resolution: Provides good resolution at the genus or family level for various eukaryotic taxa.<\\\/li><li>Primer choice: Well-established primers are available for this region, such as TAReuk454FWD1\\\/TAReukREV3.<\\\/li><li>Compatibility: The amplicon length is compatible with popular sequencing platforms like Illumina.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p><strong>V5 region:<\\\/strong><\\\/p><ul><li>Length: ~300-400 base pairs.<\\\/li><li>Taxonomic resolution: Provides moderate resolution at the genus or family level for various eukaryotic taxa.<\\\/li><li>Primer choice: Primers targeting the V5 region are available, but they may not provide as comprehensive coverage or taxonomic resolution as primers for the V4 or V9 regions.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p><strong>V7 region:<\\\/strong><\\\/p><ul><li>Length: ~300-400 base pairs.<\\\/li><li>Taxonomic resolution: Offers moderate resolution at the genus or family level for various eukaryotic taxa.<\\\/li><li>Primer choice: Primers targeting the V7 region are available, but like the V5 region, they may not provide as comprehensive coverage or taxonomic resolution as primers for the V4 or V9 regions.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p><strong>V9 region:<\\\/strong><\\\/p><ul><li>Length: ~150-200 base pairs.<\\\/li><li>Taxonomic resolution: Offers good resolution at the genus or family level for various eukaryotic taxa.<\\\/li><li>Primer choice: Well-established primers are available for this region, such as Euk1391f\\\/EukBr.<\\\/li><li>Compatibility: The short amplicon length is well-suited for high-throughput sequencing platforms like Illumina.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p>The choice of which region(s) to target for 18S amplicon sequencing depends on factors such as the organisms of interest, the desired taxonomic resolution, sequencing platform constraints, and the availability of well-established primers. Keep in mind that the 18S rRNA gene is more conserved than the 16S rRNA gene, and in some cases, researchers might target other markers like the internal transcribed spacer (ITS) regions for fungal diversity or 28S rRNA and COI (cytochrome c oxidase subunit I) for specific eukaryotic taxa. As always, the selection of target regions should be tailored to your specific research context and objectives.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"How many tags should I request for my project?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>The short answer is that it entirely depends on your sample type and project objectives. The number of tags generated from short reads-based amplicon sequencing varies among projects, commonly chosen between 30k, 50k, and 100k. For most sample types, 30k tags work pretty well. You may consider 50k or 100k tags for extremely complex communities like soils or human\\\/animal guts. But for PacBio long reads-based profiling, the cost increases rapidly if you go beyond the standard 10k CCS reads. Please\\u00a0<a href=\\\"https:\\\/\\\/mbioworks.com\\\/index.php\\\/contact-us\\\/\\\">contact us<\\\/a>\\u00a0for further information.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Which strategy should I choose between short NGS reads and long PacBio reads?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Both methods produce highly accurate reads. With long PacBio reads, you get significantly longer 16S\\\/18S\\\/ITS fragments than short reads from an Illumina or MGI sequencer. Thus, a higher resolution of resolving microbial community structure can be achieved with PacBio reads, often down to the strain level. But PacBio sequencing is relatively expensive, so the sequencing depth will usually be sacrificed, limiting its ability to address highly complex microbial communities. Regarding turnaround time, a project involving PacBio sequencing takes roughly one more week to complete than that only with NGS.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Which of ITS1 and ITS2 should be chosen for profiling fungal community structure?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>The choice between using the internal transcribed spacer (ITS) regions ITS1 and ITS2 for profiling fungal community structure depends on the goals of your study and the specific organisms you are interested in. Both regions are widely used as molecular markers for fungal identification and diversity analysis, and they have their respective advantages and disadvantages.<\\\/p><p>\\u00a0<\\\/p><p><strong>ITS1:<\\\/strong><\\\/p><ul><li>Higher variability: ITS1 is usually more variable than ITS2, which can make it a better choice for distinguishing closely related species or strains.<\\\/li><li>Less prone to co-amplification: ITS1 is less likely to co-amplify plant DNA in environmental samples, which can be an advantage when studying fungal communities in plant-associated environments.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p><strong>ITS2:<\\\/strong><\\\/p><ul><li>More conserved secondary structure: ITS2 has a more conserved secondary structure, which can make it easier to design primers and align sequences.<\\\/li><li>Better reference database coverage: ITS2 often has better coverage in reference databases, which can improve the accuracy and confidence of species identification.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p>Some researchers choose to use both ITS regions to achieve a more comprehensive understanding of fungal community structure. It is important to consider the organisms you are targeting, the goals of your study, and the availability of primers and reference databases when making your decision. Ultimately, the choice between ITS1 and ITS2 will depend on your specific research context and objectives.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"How the difference in the length of fungal ITS1 and ITS2 may affect the results?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<div class=\\\"flex-1 overflow-hidden\\\"><div class=\\\"react-scroll-to-bottom--css-soeod-79elbk h-full dark:bg-gray-800\\\"><div class=\\\"react-scroll-to-bottom--css-soeod-1n7m0yu\\\"><div class=\\\"flex flex-col items-center text-sm dark:bg-gray-800\\\"><div class=\\\"group w-full text-gray-800 dark:text-gray-100 border-b border-black\\\/10 dark:border-gray-900\\\/50 bg-gray-50 dark:bg-[#444654]\\\"><div class=\\\"text-base gap-4 md:gap-6 md:max-w-2xl lg:max-w-xl xl:max-w-3xl p-4 md:py-6 flex lg:px-0 m-auto\\\"><div class=\\\"relative flex w-[calc(100%-50px)] flex-col gap-1 md:gap-3 lg:w-[calc(100%-115px)]\\\"><div class=\\\"flex flex-grow flex-col gap-3\\\"><div class=\\\"min-h-[20px] flex flex-col items-start gap-4 whitespace-pre-wrap\\\"><div class=\\\"markdown prose w-full break-words dark:prose-invert light\\\"><p>The lengths of the internal transcribed spacer (ITS) regions ITS1 and ITS2 can vary between different fungal species and even within a single species due to the presence of insertions, deletions, or other sequence variations. Generally, the ITS1 region is considered to be more variable in length than the ITS2 region. Here are the approximate length ranges for each region:<\\\/p><p>\\u00a0<\\\/p><p><strong>ITS1:<\\\/strong><\\\/p><ul><li>The length of the ITS1 region typically ranges from 100 to 350 base pairs (bp), although in some species, it can extend to over 1000 bp.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p><strong>ITS2:<\\\/strong><\\\/p><ul><li>The ITS2 region is generally shorter and more conserved in length, usually ranging from 140 to 300 bp.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p>This variation in length can impact the choice between ITS1 and ITS2 for profiling fungal community structure. Longer and more variable regions, like ITS1, can provide higher resolution for distinguishing closely related species or strains. However, this variability can also make it more challenging to design universal primers or align sequences for phylogenetic analysis.<\\\/p><p>In contrast, ITS2&#8217;s more conserved length and secondary structure can simplify primer design and sequence alignment. Ultimately, the choice between ITS1 and ITS2 for your study should consider these factors along with the specific organisms of interest and your research goals.<\\\/p><\\\/div><\\\/div><\\\/div><\\\/div><\\\/div><\\\/div><\\\/div><\\\/div><\\\/div><\\\/div>\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dc05723 elementor-widget elementor-widget-text-editor\" data-id=\"dc05723\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e606c97 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e606c97\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5923935\" data-id=\"5923935\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-93ead45 elementor-widget elementor-widget-text-editor\" data-id=\"93ead45\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h5>Environmental Metagenomics<\/h5>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d1faf9f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d1faf9f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ba37c7a\" data-id=\"ba37c7a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-56de747 elementor-widget elementor-widget-toggle\" data-id=\"56de747\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-9101\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-9101\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Do you accept DNA or soil samples preserved in a freezer for years?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-9101\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-9101\"><p>Yes, we do. DNA is amazingly stable when stored in TE buffer under a freezing temperature. Frequent thaw-freeze may break DNA double strands to some level but generally has a minor effect on sequencing output and data quality. We also accept frozen soil samples and provide professional services to extract high-quality DNA from these samples. Please be aware that sequencing results from a fresh soil sample can differ a lot from the same sample put in a freezer for years since microbial communities change slowly, even under freezing temperatures.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-9102\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-9102\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Which pipeline do you use to assemble metagenomes?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-9102\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-9102\"><p>MetaSPAdes and MEGAHIT are both widely used metagenome assembly tools. While they employ different algorithms and strategies to assemble metagenomic data, their overall goals are to reconstruct the original genomes of microorganisms in a metagenomic sample. Below are some differences between the two assemblers:<\/p><p>\u00a0<\/p><p><strong>MetaSPAdes:<\/strong><\/p><ul><li>MetaSPAdes is an extension of the SPAdes assembler designed specifically for metagenomics.<\/li><li>It uses multiple k-mer sizes and iteratively refines the assembly.<\/li><li>MetaSPAdes is known for producing high-quality assemblies and has shown better performance than MEGAHIT in some studies when it comes to contig accuracy and genome reconstruction.<\/li><li>However, MetaSPAdes tends to be more computationally demanding (in terms of RAM usage and running time) than MEGAHIT, especially for large and complex datasets.<\/li><\/ul><p>\u00a0<\/p><p><strong>MEGAHIT:<\/strong><\/p><ul><li>MEGAHIT is a standalone metagenomic assembler that employs succinct de Bruijn graphs and iterative assembly strategies.<\/li><li>It is specifically designed to handle large metagenomic datasets with limited computational resources.<\/li><li>MEGAHIT is typically faster and more memory-efficient than MetaSPAdes, which can be advantageous for large-scale metagenomic projects or when computing resources are limited.<\/li><li>While MEGAHIT may produce slightly lower quality assemblies compared to MetaSPAdes, it still generates reliable results.<\/li><\/ul><p>\u00a0<\/p><p>In summary, MetaSPAdes tends to produce higher quality assemblies but is more computationally intensive, while MEGAHIT is faster and more memory-efficient but may yield slightly lower quality results. The choice between the two assemblers largely depends on your specific needs, dataset size, and available computational resources. It is also worth noting that assembly quality can vary between datasets, so it may be beneficial to try both assemblers and compare their results using benchmarking tools like MetaQUAST or BUSCO.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Do you accept DNA or soil samples preserved in a freezer for years?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Yes, we do. DNA is amazingly stable when stored in TE buffer under a freezing temperature. Frequent thaw-freeze may break DNA double strands to some level but generally has a minor effect on sequencing output and data quality. We also accept frozen soil samples and provide professional services to extract high-quality DNA from these samples. Please be aware that sequencing results from a fresh soil sample can differ a lot from the same sample put in a freezer for years since microbial communities change slowly, even under freezing temperatures.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Which pipeline do you use to assemble metagenomes?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>MetaSPAdes and MEGAHIT are both widely used metagenome assembly tools. While they employ different algorithms and strategies to assemble metagenomic data, their overall goals are to reconstruct the original genomes of microorganisms in a metagenomic sample. Below are some differences between the two assemblers:<\\\/p><p>\\u00a0<\\\/p><p><strong>MetaSPAdes:<\\\/strong><\\\/p><ul><li>MetaSPAdes is an extension of the SPAdes assembler designed specifically for metagenomics.<\\\/li><li>It uses multiple k-mer sizes and iteratively refines the assembly.<\\\/li><li>MetaSPAdes is known for producing high-quality assemblies and has shown better performance than MEGAHIT in some studies when it comes to contig accuracy and genome reconstruction.<\\\/li><li>However, MetaSPAdes tends to be more computationally demanding (in terms of RAM usage and running time) than MEGAHIT, especially for large and complex datasets.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p><strong>MEGAHIT:<\\\/strong><\\\/p><ul><li>MEGAHIT is a standalone metagenomic assembler that employs succinct de Bruijn graphs and iterative assembly strategies.<\\\/li><li>It is specifically designed to handle large metagenomic datasets with limited computational resources.<\\\/li><li>MEGAHIT is typically faster and more memory-efficient than MetaSPAdes, which can be advantageous for large-scale metagenomic projects or when computing resources are limited.<\\\/li><li>While MEGAHIT may produce slightly lower quality assemblies compared to MetaSPAdes, it still generates reliable results.<\\\/li><\\\/ul><p>\\u00a0<\\\/p><p>In summary, MetaSPAdes tends to produce higher quality assemblies but is more computationally intensive, while MEGAHIT is faster and more memory-efficient but may yield slightly lower quality results. The choice between the two assemblers largely depends on your specific needs, dataset size, and available computational resources. It is also worth noting that assembly quality can vary between datasets, so it may be beneficial to try both assemblers and compare their results using benchmarking tools like MetaQUAST or BUSCO.<\\\/p>\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-140d19f elementor-widget elementor-widget-text-editor\" data-id=\"140d19f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3407a1f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3407a1f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ac1ec06\" data-id=\"ac1ec06\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-55a1699 elementor-widget elementor-widget-text-editor\" data-id=\"55a1699\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h5>Emergent Sequencing<\/h5>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-487913c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"487913c\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-84b5f75\" data-id=\"84b5f75\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0572d19 elementor-widget elementor-widget-toggle\" data-id=\"0572d19\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-5711\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-5711\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Can I bring samples to your lab to expedite the process?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-5711\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-5711\"><p>We highly recommend taking this approach, as it will help reduce the time required to complete the project. We are also eager to collaborate with our clients in the lab to achieve the best results in the shortest possible time.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-5712\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-5712\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">How can I have a good guess of the cost before reaching out to you for a quote?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-5712\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-5712\"><p>We adopt a transparent pricing policy for all customers, whether you are a big pharma, a public institution, or a small startup. This also applies to emergent sequencing services. Please refer to the current rates shown above for consumables and sequencer running costs. The Customers are encouraged to do their own calculations. We will refund the difference overcharged if there are any deviations between your calculations and ours. In essence, we only charge labour costs and a one-off setup fee.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-5713\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"tab\" aria-controls=\"elementor-tab-content-5713\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">How can you ensure a fast return of the results from bioinformatics analysis?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-5713\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-5713\"><p>This is guaranteed, as we state in our service targets, because we have our own bioinformatics servers in-house with automated pipelines, which are constantly monitored remotely by a small but highly capable and efficient data scientist team. The only thing is that we need to adjust the priority of existing projects to serve emergency projects better.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Can I bring samples to your lab to expedite the process?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>We highly recommend taking this approach, as it will help reduce the time required to complete the project. We are also eager to collaborate with our clients in the lab to achieve the best results in the shortest possible time.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"How can I have a good guess of the cost before reaching out to you for a quote?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>We adopt a transparent pricing policy for all customers, whether you are a big pharma, a public institution, or a small startup. This also applies to emergent sequencing services. Please refer to the current rates shown above for consumables and sequencer running costs. The Customers are encouraged to do their own calculations. We will refund the difference overcharged if there are any deviations between your calculations and ours. In essence, we only charge labour costs and a one-off setup fee.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"How can you ensure a fast return of the results from bioinformatics analysis?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>This is guaranteed, as we state in our service targets, because we have our own bioinformatics servers in-house with automated pipelines, which are constantly monitored remotely by a small but highly capable and efficient data scientist team. The only thing is that we need to adjust the priority of existing projects to serve emergency projects better.<\\\/p>\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53455fa elementor-widget elementor-widget-text-editor\" data-id=\"53455fa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b2d2002 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b2d2002\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-aedcee7\" data-id=\"aedcee7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c7b0c9b elementor-widget elementor-widget-text-editor\" data-id=\"c7b0c9b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h5>Data Analysis Package<\/h5>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-fc31ab9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"fc31ab9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f5efa45\" data-id=\"f5efa45\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b38b957 elementor-widget elementor-widget-toggle\" data-id=\"b38b957\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-toggle\" role=\"tablist\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1881\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"tab\" aria-controls=\"elementor-tab-content-1881\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Where do you process the data?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1881\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1881\"><p>As a general policy, we do not disclose the locations of our servers and genome data scientist team. But we can confirm that all our resources are distributed within these three countries: Denmark, UK, and China. In some cases, we may use AWS, Azure, or Alibaba Cloud to perform certain parts of the pipelines. If you are concerned that your data may leave the EU territory, please seek other bioinformatics service providers, as we cannot guarantee that.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1882\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"tab\" aria-controls=\"elementor-tab-content-1882\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">How can I send the data to you quickly and conveniently?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1882\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1882\"><p>The easiest way is to upload the data to a shared Dropbox folder we create for each project. Customers can also use other online big file transfer services or even mail hard disks to us. Once the project is done, we will return the disks by regular mail.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1883\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"tab\" aria-controls=\"elementor-tab-content-1883\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">Will I receive detailed methods or protocols you use in the bioinformatic analysis?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1883\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1883\"><p>Yes, you will. Many of our customers are academic researchers who need a detailed description of the whole bioinformatic pipeline for future publications. We have a ready-for-publication version of all our protocols including parameter settings for each command or program. This will be included in a project\u2019s final report. We will make all methods and protocols available online at some point.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1884\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"tab\" aria-controls=\"elementor-tab-content-1884\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"\" class=\"elementor-toggle-title\">In what format will the figures be?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1884\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1884\"><p>The figures will be in an uneditable PNG or JPG format with a maximum resolution of 300 dpi for the Basic package. All figures will be in both SVG and PNG\/JPG formats for the Pro or Premium package. The SVG files can be edited with Adobe Illustrator or Inkscape to generate publication-quality figures.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"Where do you process the data?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>As a general policy, we do not disclose the locations of our servers and genome data scientist team. But we can confirm that all our resources are distributed within these three countries: Denmark, UK, and China. In some cases, we may use AWS, Azure, or Alibaba Cloud to perform certain parts of the pipelines. 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We have a ready-for-publication version of all our protocols including parameter settings for each command or program. This will be included in a project\\u2019s final report. We will make all methods and protocols available online at some point.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"In what format will the figures be?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>The figures will be in an uneditable PNG or JPG format with a maximum resolution of 300 dpi for the Basic package. All figures will be in both SVG and PNG\\\/JPG formats for the Pro or Premium package. The SVG files can be edited with Adobe Illustrator or Inkscape to generate publication-quality figures.<\\\/p>\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-05f8188 elementor-widget elementor-widget-text-editor\" data-id=\"05f8188\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Most commonly asked questions and answers. We keep things simple and straightforward. What you see is what you get. No hidden cost. No price discrimination. We see trust as fundamental to our business.<\/p>\n","protected":false},"author":2,"featured_media":383,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[35,25],"class_list":["post-4997","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technical-documents","tag-admin","tag-service"],"_links":{"self":[{"href":"https:\/\/mbioworks.com\/index.php?rest_route=\/wp\/v2\/posts\/4997","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mbioworks.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mbioworks.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mbioworks.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mbioworks.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4997"}],"version-history":[{"count":141,"href":"https:\/\/mbioworks.com\/index.php?rest_route=\/wp\/v2\/posts\/4997\/revisions"}],"predecessor-version":[{"id":8007,"href":"https:\/\/mbioworks.com\/index.php?rest_route=\/wp\/v2\/posts\/4997\/revisions\/8007"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mbioworks.com\/index.php?rest_route=\/wp\/v2\/media\/383"}],"wp:attachment":[{"href":"https:\/\/mbioworks.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4997"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mbioworks.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4997"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mbioworks.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4997"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}