macOS
brew install hmmerlocal Homebrew formula metadata
sudo port install hmmerMacPorts ports tree · science/hmmer/Portfile · 来源: api.github.com
安装
brew install hmmerlocal Homebrew formula metadata
sudo port install hmmerMacPorts ports tree · science/hmmer/Portfile · 来源: api.github.com
sudo dnf install hmmerFedora Rawhide package metadata · hmmer · 来源: dl.fedoraproject.org
nix profile install nixpkgs#hmmernixpkgs package indexes · pkgs/by-name/hm/hmmer/package.nix · 来源: api.github.com
概览
Build profile HMMs and scan against sequence databases
历史
HMMER is a long-running bioinformatics toolkit for sequence homology search, multiple-sequence-alignment work, and profile hidden Markov model workflows. Its package identity is unusually strong because installing it gives a family of command-line programs, including hmmbuild, hmmsearch, hmmscan, phmmer, jackhmmer, nhmmer, and hmmpress, rather than a single executable.
The official release history traces HMMER1 to Sean Eddy's work at MRC-LMB Cambridge and Washington University, with a local release in April 1994 and the first public release in July 1994. HMMER2 followed at Washington University, with the 2.0 beta described as a nearly complete rewrite for profile hidden Markov model analysis of protein sequences and the 2.1 series becoming the first public 2.x release in October 1998.
HMMER3 development moved through HHMI Janelia Farm and Harvard University. The 3.0 release notes describe 3.0 as production-ready after beta testing that began in January 2009, and note that beta versions were already deployed for Pfam, InterPro, and other protein databases before the stable 3.0 release. Later HMMER3 work added DNA-oriented tools, web-server support paths, MPI and daemon improvements, performance fixes, and platform support.
The official README says HMMER is used by many protein-family domain databases and large-scale annotation pipelines, including many members of the InterPro Consortium. That sentence captures why it became a standard Unix bioinformatics package: it sits behind databases and annotation systems that many users consume indirectly, while still remaining a scriptable command-line toolkit for local analysis.
HMMER also spread through packaging because it is portable C software with a conventional configure, make, make check, and make install workflow. The Homebrew formula and the supplied package facts show it appearing under the same package name across common Unix-like package managers, which makes recipes, tutorials, and analysis pipelines relatively stable across macOS, Linux distributions, and reproducible-environment tools.
Typical HMMER usage starts with building or obtaining a profile HMM, preparing a sequence or HMM database, and running search tools such as hmmsearch, hmmscan, phmmer, jackhmmer, nhmmer, or nhmmscan. The README points users to the User's Guide tutorial after installation, while release notes show continuing attention to search daemons, sharded databases, multithreading behavior, FM-index handling, and profile-building behavior on deep alignments.
For package users, HMMER is often consumed as a command-line dependency inside larger biological-data workflows. The tools are small enough to script directly, but important enough that subtle version changes, database-pressing formats, CPU behavior, and bundled Easel-library changes can matter to reproducible science pipelines.
HMMER is package-nerd significant because it is a classic scientific CLI package with real downstream consequences. It has many executables, a long release lineage, a bundled support library, man pages and PDFs, and a user base that cares about exact scoring behavior and reproducibility.
It is also a good example of bioinformatics packaging culture: upstream tarballs are still recommended for release builds, GitHub is used for development, package managers provide convenience installs, and downstream users expect the same tool names to work inside shell scripts, HPC jobs, Docker images, notebooks, and workflow managers.
安全态势
broad file, network, media, or database tool signal.
blue 风险 · 中 置信度 · tool
在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
alimask | cli | 全局可执行文件 | |
hmmalign | cli | 全局可执行文件 | |
hmmbuild | cli | 全局可执行文件 | |
hmmconvert | cli | 全局可执行文件 | |
hmmemit | cli | 全局可执行文件 | |
hmmfetch | cli | 全局可执行文件 | |
hmmlogo | cli | 全局可执行文件 | |
hmmpgmd | cli | 全局可执行文件 | |
hmmpgmd_shard | cli | 全局可执行文件 | |
hmmpress | cli | 全局可执行文件 | |
hmmscan | cli | 全局可执行文件 | |
hmmsearch | cli | 全局可执行文件 | |
hmmsim | cli | 全局可执行文件 | |
hmmstat | cli | 全局可执行文件 | |
jackhmmer | cli | 全局可执行文件 | |
makehmmerdb | cli | 全局可执行文件 | |
nhmmer | cli | 全局可执行文件 | |
nhmmscan | cli | 全局可执行文件 | |
phmmer | cli | 全局可执行文件 |
新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。
安装元数据
| 软件包键 | brew:hmmer |
|---|---|
| 版本 | 3.4 |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/hmmer |
| 主页 | http://hmmer.org/ |
| 仓库 | https://github.com/EddyRivasLab/hmmer |
| 上游文档 | https://eddylab.org/software/hmmer/CURRENT/Userguide.pdf |
| 许可证 | BSD-3-Clause |
| 源码归档 | https://distfiles.macports.org/hmmer/hmmer-3.4.tar.gz |
| Bottle | 可用 (于 arm64_big_sur, arm64_linux, arm64_monterey, arm64_sequoia, arm64_sonoma, arm64_tahoe, arm64_ventura, big_sur, monterey, sonoma, ventura, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | hmmer |
| Version Scheme | 0 |
| Revision | 0 |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
源数据库匹配
匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。
hmmer 3.4+dfsg-2
profile hidden Markov models for protein sequence analysis
sudo apt install hmmerhmmer-doc 3.4+dfsg-2
profile hidden Markov models for protein sequence analysis (docs)
sudo apt install hmmer-dochmmer-examples 3.4+dfsg-2
profile hidden Markov models for protein sequence analysis (examples)
sudo apt install hmmer-exampleshmmer
nix profile install nixpkgs#hmmerhmmer 3.4+dfsg-2
profile hidden Markov models for protein sequence analysis
sudo apt install hmmerhmmer-doc 3.4+dfsg-2
profile hidden Markov models for protein sequence analysis (docs)
sudo apt install hmmer-dochmmer-examples 3.4+dfsg-2
profile hidden Markov models for protein sequence analysis (examples)
sudo apt install hmmer-exampleshmmer 3.3.2-12.fc44
Biosequence analysis using profile hidden Markov models
sudo dnf install hmmerhmmer-doc 3.3.2-12.fc44
Documentation for hmmer
sudo dnf install hmmer-dochmmer-easel 3.3.2-12.fc44
Easel collection of small tools
sudo dnf install hmmer-easelhmmer
sudo port install hmmer来源线索
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View the package source record on GitHub.