{"id":2030,"date":"2022-06-08T11:43:59","date_gmt":"2022-06-08T15:43:59","guid":{"rendered":"http:\/\/sys4seq.com\/?page_id=2030"},"modified":"2022-06-08T11:43:59","modified_gmt":"2022-06-08T15:43:59","slug":"microbiome","status":"publish","type":"page","link":"https:\/\/sys4seq.com\/index.php\/microbiome\/","title":{"rendered":"Microbiome"},"content":{"rendered":"<div id=\"cherry-posts-list-1\" class=\"cherry-posts-list template-default  \"><div class=\"cherry-posts-item post-item item-0 odd\"><div class=\"inner cherry-clearfix\"><figure class=\"post-thumbnail\"><\/figure>\n<h4 class=\"post-title\"><a href=\"https:\/\/sys4seq.com\/index.php\/2022\/06\/08\/taxonomic-and-functional-profiling-of-the-microbiome-whole-genome-shotgun-metagenomics\/\" title=\"Taxonomic and functional profiling of the microbiome &#8211; whole genome shotgun metagenomics\">Taxonomic and functional profiling of the microbiome &#8211; whole genome shotgun metagenomics<\/a><\/h4>\n<div class=\"post-meta\">\n\tPosted on <time datetime=\"2022-06-08T11:48:15-04:00\">June 8, 2022<\/time> by <span class=\"post-author vcard\"><a href=\"https:\/\/sys4seq.com\/index.php\/author\/adinasarapu\/\" rel=\"author\">Ashok Dinasarapu<\/a><\/span>  <span class=\"post-tax post-tax-category\"><a href=\"https:\/\/sys4seq.com\/index.php\/category\/analysis\/\">Analysis<\/a> <a href=\"https:\/\/sys4seq.com\/index.php\/category\/microbiome\/\">Microbiome<\/a> <a href=\"https:\/\/sys4seq.com\/index.php\/category\/omics\/\">Omics<\/a><\/span>\n<\/div>\n\n<div class=\"post-content part\">This workflow consists of taxonomic and functional profiling of shotgun metagenomics sequencing (MGS) reads using MetaPhlAn2 and HUMAnN2, respectively. To perform taxonomic (phyla, genera or species level) profiling of the MGS data, the MetaPhlAn2 pipeline was run on a high performance multicore cluster computing environment. &gt;&gt;&gt;<\/div>\n<a href=\"https:\/\/sys4seq.com\/index.php\/2022\/06\/08\/taxonomic-and-functional-profiling-of-the-microbiome-whole-genome-shotgun-metagenomics\/\" class=\"btn btn-default\">read more<\/a>\n<footer><span class=\"post-tax post-tax-post_tag\"><a href=\"https:\/\/sys4seq.com\/index.php\/tag\/microbiome\/\">Microbiome<\/a><\/span><\/footer><\/div><\/div><!--\/.cherry-posts-item--><div class=\"cherry-posts-item post-item item-1 even\"><div class=\"inner cherry-clearfix\"><figure class=\"post-thumbnail\"><\/figure>\n<h4 class=\"post-title\"><a href=\"https:\/\/sys4seq.com\/index.php\/2022\/06\/08\/taxonomic-and-diversity-profiling-of-the-microbiome-16s-rrna-gene-amplicon-sequence-data\/\" title=\"Taxonomic and diversity profiling of the microbiome : 16S rRNA gene amplicon sequence data\">Taxonomic and diversity profiling of the microbiome : 16S rRNA gene amplicon sequence data<\/a><\/h4>\n<div class=\"post-meta\">\n\tPosted on <time datetime=\"2022-06-08T11:46:32-04:00\">June 8, 2022<\/time> by <span class=\"post-author vcard\"><a href=\"https:\/\/sys4seq.com\/index.php\/author\/adinasarapu\/\" rel=\"author\">Ashok Dinasarapu<\/a><\/span>  <span class=\"post-tax post-tax-category\"><a href=\"https:\/\/sys4seq.com\/index.php\/category\/analysis\/\">Analysis<\/a> <a href=\"https:\/\/sys4seq.com\/index.php\/category\/microbiome\/\">Microbiome<\/a> <a href=\"https:\/\/sys4seq.com\/index.php\/category\/omics\/\">Omics<\/a><\/span>\n<\/div>\n\n<div class=\"post-content part\">The 16S ribosomal RNA (rRNA) gene of Bacteria codes for the RNA component of the 30S subunit. Different bacterial species have one to multiple copies of the 16S rRNA gene, and each with 9 hypervariable regions, V1-V9. High-throughput sequencing of 16S rRNA gene (a \u201cmarker gene\u201d) amplicons has become a widely used method to study<\/div>\n<a href=\"https:\/\/sys4seq.com\/index.php\/2022\/06\/08\/taxonomic-and-diversity-profiling-of-the-microbiome-16s-rrna-gene-amplicon-sequence-data\/\" class=\"btn btn-default\">read more<\/a>\n<footer><span class=\"post-tax post-tax-post_tag\"><a href=\"https:\/\/sys4seq.com\/index.php\/tag\/microbiome\/\">Microbiome<\/a><\/span><\/footer><\/div><\/div><!--\/.cherry-posts-item--><\/div><!--\/.cherry-posts-list-->\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_mi_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"_links":{"self":[{"href":"https:\/\/sys4seq.com\/index.php\/wp-json\/wp\/v2\/pages\/2030"}],"collection":[{"href":"https:\/\/sys4seq.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sys4seq.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sys4seq.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sys4seq.com\/index.php\/wp-json\/wp\/v2\/comments?post=2030"}],"version-history":[{"count":1,"href":"https:\/\/sys4seq.com\/index.php\/wp-json\/wp\/v2\/pages\/2030\/revisions"}],"predecessor-version":[{"id":2032,"href":"https:\/\/sys4seq.com\/index.php\/wp-json\/wp\/v2\/pages\/2030\/revisions\/2032"}],"wp:attachment":[{"href":"https:\/\/sys4seq.com\/index.php\/wp-json\/wp\/v2\/media?parent=2030"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}