{"id":10306,"date":"2022-12-28T09:48:22","date_gmt":"2022-12-28T14:48:22","guid":{"rendered":"https:\/\/ncbiinsights.ncbi.nlm.nih.gov\/?p=10306"},"modified":"2022-12-28T09:48:22","modified_gmt":"2022-12-28T14:48:22","slug":"hmm-release-11","status":"publish","type":"post","link":"https:\/\/ncbiinsights.ncbi.nlm.nih.gov\/2022\/12\/28\/hmm-release-11\/","title":{"rendered":"NCBI hidden Markov models (HMM) release 11.0 now available!"},"content":{"rendered":"
Release 11.0 of the NCBI protein profile Hidden Markov models (HMMs) used by the Prokaryotic Genome Annotation Pipeline (PGAP<\/a>) is now available for download<\/a>. You can search this collection against your favorite prokaryotic proteins to identify their function using the HMMER<\/a> sequence analysis package. <\/p>\n The 11.0 release contains 15,643 HMMs maintained by NCBI, including 290 that are new since release 10.0 and 27 that were significantly modified. A total of 518 HMMs were assigned better names, EC numbers, Gene Ontology<\/a> (GO) terms, gene symbols, or publications. You can search and view the details for these in the Protein Family Model<\/a> collection, which also includes conserved domain architectures and BlastRules, and find all RefSeq<\/a> proteins they name.<\/p>\n