{"id":562,"date":"2015-12-02T11:00:25","date_gmt":"2015-12-02T11:00:25","guid":{"rendered":"https:\/\/aciref.rc.fas.harvard.edu\/?p=562"},"modified":"2015-12-02T11:00:25","modified_gmt":"2015-12-02T11:00:25","slug":"microbial-evolution","status":"publish","type":"post","link":"https:\/\/aciref.chpc.utah.edu\/?p=562","title":{"rendered":"Microbial communities and rapid evolution"},"content":{"rendered":"<p>\t\t\t\t<a href=\"https:\/\/morgridge.org\/newsarticle\/microbial-communities-may-inform-understanding-of-rapid-evolution\/\">Microbial communities may inform understanding of rapid evolution<\/a><\/p>\n<blockquote><p>\nLauren Michael, a research computing facilitator at the Center for High Throughput Computing (CHTC), says researchers tend to use the CHTC resources for two reasons: they have massive volumes of data or a need for incredibly complex computations.<\/p>\n<p>Bontrager has a bit of both, and uses the CHTC resources for two primary research methods. The first is 16S sequencing. This involves sequencing a region of one gene that happens to be present in all bacteria and using it as a barcode to compare samples against databases of known bacterial strains.\n<\/p><\/blockquote>\n<p><a href=\"https:\/\/aciref.chpc.utah.edu\/wp-content\/uploads\/2016\/03\/CHTCmartin1-News.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/aciref.chpc.utah.edu\/wp-content\/uploads\/2016\/03\/CHTCmartin1-News.jpg\" alt=\"CHTCmartin1-News\" width=\"770\" height=\"418\" class=\"aligncenter size-full wp-image-563\" srcset=\"https:\/\/aciref.chpc.utah.edu\/wp-content\/uploads\/2016\/03\/CHTCmartin1-News.jpg 770w, https:\/\/aciref.chpc.utah.edu\/wp-content\/uploads\/2016\/03\/CHTCmartin1-News-300x163.jpg 300w, https:\/\/aciref.chpc.utah.edu\/wp-content\/uploads\/2016\/03\/CHTCmartin1-News-768x417.jpg 768w\" sizes=\"auto, (max-width: 770px) 100vw, 770px\" \/><\/a>\t\t<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Microbial communities may inform understanding of rapid evolution Lauren Michael, a research computing facilitator at the Center for High Throughput Computing (CHTC), says researchers tend to use the CHTC resources for two reasons: they have massive volumes of data or a need for incredibly complex computations. Bontrager has a bit of both, and uses the [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,4],"tags":[10,22,31,36],"class_list":["post-562","post","type-post","status-publish","format-standard","hentry","category-impact","category-life-sciences","tag-article","tag-htc","tag-research-stories","tag-uw-madison"],"_links":{"self":[{"href":"https:\/\/aciref.chpc.utah.edu\/index.php?rest_route=\/wp\/v2\/posts\/562","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aciref.chpc.utah.edu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aciref.chpc.utah.edu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aciref.chpc.utah.edu\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/aciref.chpc.utah.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=562"}],"version-history":[{"count":0,"href":"https:\/\/aciref.chpc.utah.edu\/index.php?rest_route=\/wp\/v2\/posts\/562\/revisions"}],"wp:attachment":[{"href":"https:\/\/aciref.chpc.utah.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=562"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aciref.chpc.utah.edu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=562"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aciref.chpc.utah.edu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=562"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}