{"schema_version":1,"metadata":{"branch":"release","release":"7.9","architecture":"amd64","generated_at":"2026-09-09T04:04:02.361425+00:00","source_url":"https://cdn.openbsd.org/pub/OpenBSD/7.9/packages/amd64/sqlports-7.54.tgz","source_sha256":"2de00144847bf9da3a365be982f101dbb55d591ed7a915ea94984a16ab0e0404","package_count":12059,"source_kind":"sqlports"},"package":{"name":"hmmer-3.1beta2p0","path":"biology/hmmer","url":"/packages/release/biology/hmmer/","comment":"profile HMMs for biological sequence analysis","homepage":"http://hmmer.org","maintainer":"Senthil Kumar M <senthil.murugapiran@gmail.com>","description":"HMMER is used for searching sequence databases for sequence homologs,\nand for making sequence alignments. It implements methods using\nprobabilistic models called profile hidden Markov models (profile\nHMMs). HMMER is designed to detect remote homologs as sensitively as\npossible, relying on the strength of its underlying probability\nmodels.\n\nHMMER is often used together with a profile database, such as Pfam\nor many of the databases that participate in Interpro. But HMMER\ncan also work with query sequences, not just profiles, just like\nBLAST. For example, you can search a protein query sequence against\na database with phmmer, or do an iterative search with jackhmmer.\n","package_architecture":"amd64","stem":"hmmer","readme":null,"dependencies":[{"path":"devel/gmake","type":"build","package_spec":"","url":"/packages/release/devel/gmake/"}],"reverse_dependencies":{"count":0,"url":null},"categories":["biology"],"flavors":[],"only_for_architectures":[],"not_for_architectures":[]}}