{"id":8,"date":"2019-08-30T11:10:24","date_gmt":"2019-08-30T11:10:08","guid":{"rendered":"http:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/?page_id=8"},"modified":"2024-02-07T16:36:31","modified_gmt":"2024-02-07T16:36:31","slug":"case-study-2-tigrfams","status":"publish","type":"page","link":"https:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/case-study-2-tigrfams\/","title":{"rendered":"Case study 2: TIGRFAMs"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<p><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/genome\/annotation_prok\/tigrfams\/\">TIGRFAMs<\/a> is a resource consisting of curated multiple sequence alignments, Hidden Markov Models (HMMs) for protein sequence classification, and associated information designed to support automated annotation of (mostly prokaryotic) proteins.<\/p>\n\n\n\n<p>This second case study describes how the TIGRFAMs HMM collection&nbsp;is&nbsp;generated, and what can be inferred from examining their equivalog models.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div style=\"text-align:center\"><iframe loading=\"lazy\" src=\"https:\/\/embl-ebi.cloud.panopto.eu\/Panopto\/Pages\/Embed.aspx?id=09cb51f0-9b6a-4631-b7c2-ad36009fc2d7&amp;autoplay=false&amp;offerviewer=true&amp;showtitle=true&amp;showbrand=false&amp;start=0&amp;interactivity=all\" style=\"border: 1px solid #464646;\" allowfullscreen=\"\" allow=\"autoplay\" width=\"720\" height=\"405\"><\/iframe><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>TIGRFAMs are now part of NCBIfam. For more information about the TIGRFAMs resource, including a glossary of terms used, see the\u00a0<a href=\"https:\/\/www.ncbi.nlm.nih.gov\/protfam\/\" target=\"_blank\" rel=\"noreferrer noopener\">NCBIfam website<\/a>.<\/p>\n\n\n\n<p>For more information about Genome Properties (mentioned in the video), see our&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/www.ebi.ac.uk\/training\/online\/course\/genome-properties-quick-tour\" target=\"_blank\">Genome Properties Quick Tour<\/a>.&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>TIGRFAMs is a resource consisting of curated multiple sequence alignments, Hidden Markov Models (HMMs) for protein sequence classification, and associated information designed to support automated annotation of (mostly prokaryotic) proteins. This second case study describes how the TIGRFAMs HMM collection&nbsp;is&nbsp;generated, and what can be inferred from examining their equivalog models. TIGRFAMs are now part of&#8230;<\/p>\n","protected":false},"author":6,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-8","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/wp-json\/wp\/v2\/pages\/8","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/wp-json\/wp\/v2\/comments?post=8"}],"version-history":[{"count":17,"href":"https:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/wp-json\/wp\/v2\/pages\/8\/revisions"}],"predecessor-version":[{"id":441,"href":"https:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/wp-json\/wp\/v2\/pages\/8\/revisions\/441"}],"wp:attachment":[{"href":"https:\/\/www.ebi.ac.uk\/training\/online\/courses\/interpro-a-case-study\/wp-json\/wp\/v2\/media?parent=8"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}