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/*# sourceURL=/css/ampshared.css*/</style><meta property="og:locale" content="en_US"><meta property="og:type" content="article"><meta property="og:title" content="NCBI Hidden Markov Models (HMM) Release 13.0 Now Available! - NCBI Insights"><meta property="og:description" content="Release 13.0 of the NCBI protein profile Hidden Markov models (HMMs) used by the Prokaryotic Genome Annotation Pipeline (PGAP) is now available for download. You can search this collection against your favorite prokaryotic proteins to identify their function using the HMMER sequence analysis package. Whats new? The 13.0 release contains: 16,143 HMMs maintained by NCBI … Continue reading NCBI Hidden Markov Models (HMM) Release 13.0 Now Available! →"><meta property="og:url" content="https://ncbiinsights.ncbi.nlm.nih.gov/2023/08/22/ncbi-hidden-markov-models-13/"><meta property="og:site_name" content="NCBI Insights"><meta property="article:publisher" content="https://www.facebook.com/ncbi.nlm"><meta property="article:published_time" content="2023-08-22T15:47:04+00:00"><meta property="og:image" content="https://ncbiinsights.ncbi.nlm.nih.gov/wp-content/uploads/2023/08/HMM_Release-5-e1692713713381.png"><meta property="og:image:width" content="1100"><meta property="og:image:height" content="575"><meta property="og:image:type" content="image/png"><meta name="author" content="NCBI Staff"><meta name="twitter:card" content="summary_large_image"><meta name="twitter:creator" content="@NCBI"><meta name="twitter:site" content="@NCBI"><meta name="twitter:label1" content="Written by"><meta name="twitter:data1" 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<h1 class="amp-wp-title">NCBI Hidden Markov Models (HMM) Release 13.0 Now Available!</h1>
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<amp-img width="1024" height="535" src="https://i0.wp.com/ncbiinsights.ncbi.nlm.nih.gov/wp-content/uploads/2023/08/HMM_Release-5-e1692713713381.png?fit=1024%2C535&amp;ssl=1" class="attachment-large size-large wp-post-image amp-wp-enforced-sizes i-amphtml-layout-intrinsic i-amphtml-layout-size-defined" alt='Background of colorful squares with letters in them. Text says: "HMM Release 13.0"' data-hero-candidate="" layout="intrinsic" data-hero i-amphtml-ssr i-amphtml-layout="intrinsic"><i-amphtml-sizer slot="i-amphtml-svc" class="i-amphtml-sizer"><img alt="" aria-hidden="true" class="i-amphtml-intrinsic-sizer" role="presentation" src="data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjUzNSIgd2lkdGg9IjEwMjQiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyIgdmVyc2lvbj0iMS4xIi8+"></i-amphtml-sizer><img class="i-amphtml-fill-content i-amphtml-replaced-content" decoding="async" loading="lazy" alt='Background of colorful squares with letters in them. Text says: "HMM Release 13.0"' src="https://i0.wp.com/ncbiinsights.ncbi.nlm.nih.gov/wp-content/uploads/2023/08/HMM_Release-5-e1692713713381.png?fit=1024%2C535&amp;ssl=1"></amp-img> </figure>
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<p>Release 13.0 of the NCBI protein profile Hidden Markov models (HMMs) used by the <a href="https://www.ncbi.nlm.nih.gov/genome/annotation_prok/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=hmm-release-13-20230822">Prokaryotic Genome Annotation Pipeline</a> (PGAP) is now available for <a href="https://ftp.ncbi.nlm.nih.gov/hmm/13.0">download</a>. You can search this collection against your favorite prokaryotic proteins to identify their function using the <a href="http://eddylab.org/software/hmmer/Userguide.pdf">HMMER</a> sequence analysis package.</p>
<h5>Whats new?</h5>
<p>The 13.0 release contains:</p>
<ul>
<li>16,143 HMMs maintained by NCBI</li>
<li>315 new HMMs since release 12.0</li>
<li>286 HMMs with better names, EC numbers, Gene Ontology (GO) terms, gene symbols or publications</li>
</ul>
<p></p>
<p>You can search and view the details for these in the <a href="https://www.ncbi.nlm.nih.gov/protfam?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=hmm-release-13-20230822">Protein Family Model</a> collection, which also includes conserved domain architectures and BlastRules, and find all RefSeq proteins these models name.</p>
<p>GO terms associated with HMMs are now propagated to CDSs and proteins annotated with PGAP. In case you missed it, see our <a href="https://ncbiinsights.ncbi.nlm.nih.gov/2022/02/24/gene-ontology-refseq/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=hmm-release-13-20230822">previous blog post</a> on this topic.</p>
<h5>Stay up to date</h5>
<p><span data-contrast="auto">Follow us on social</span><a href="https://twitter.com/ncbi"><span data-contrast="auto">@NCBI</span></a><span data-contrast="auto">and</span><a href="https://public.govdelivery.com/accounts/USNLMOCPL/subscriber/new?topic_id=USNLMOCPL_52"><span data-contrast="auto">join our mailing list</span></a><span data-contrast="auto">to keep up to date withHMMand other NCBI news.</span><span data-ccp-props='{"134233117":false,"134233118":false,"201341983":0,"335559738":150,"335559739":0,"335559740":240}'> </span><span data-ccp-props='{"201341983":0,"335559739":160,"335559740":259}'> </span></p>
<h5>We want to hear from you!</h5>
<p><span data-contrast="auto">If you have questions or would like to provide feedback, please reach out to us at <a href="mailto:info@ncbi.nlm.nih.gov">info@ncbi.nlm.nih.gov</a>.</span></p>
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