macOS
Homebrew已验证 · 100%
brew install mmseqs2local Homebrew formula metadata
安装
其他安装命令
Linux
Debian apt已验证 · 92%
sudo apt install mmseqs2Debian stable package indexes · mmseqs2 · 来源: deb.debian.org
Nix已验证 · 92%
nix profile install nixpkgs#mmseqs2nixpkgs package indexes · pkgs/by-name/mm/mmseqs2/package.nix · 来源: api.github.com
概览
软件包摘要
Software suite for very fast sequence search and clustering
历史
项目历史与用法
MMseqs2, short for Many-against-Many sequence searching, is a bioinformatics suite from Martin Steinegger, Johannes Soding, and collaborators for searching and clustering very large protein and nucleotide sequence sets. The project README describes it as open-source C++ software for Linux, macOS, and Windows via Cygwin, built for multicore and multi-server scalability. Its 2017 Nature Biotechnology paper introduced MMseqs2 as a sensitive protein sequence search tool for massive datasets, and the project documentation frames it as much faster than BLAST while preserving high sensitivity at practical search settings.
项目历史
Its major technical milestones followed the growth of public sequence databases. The 2018 Nature Communications Linclust paper integrated a linear-time clustering workflow into MMseqs2, demonstrating clustering of 1.6 billion metagenomic protein fragments in 10 hours on a single server and showing why quadratic or near-quadratic approaches such as CD-HIT and UCLUST struggled at that scale. A 2019 Bioinformatics paper expanded the ecosystem with an MMseqs2 desktop and local web-server app for interactive searches through custom protein sequence and profile databases, reducing query overhead and exposing MMseqs2 to users outside command-line-only workflows.
使用方式
In practice, users run the `mmseqs` executable as a suite of modules and workflows: creating MMseqs2 databases from FASTA or FASTQ, running `easy-search` for sequence search, `easy-cluster` for cascaded clustering, `easy-linclust` for larger datasets, converting alignment results, and using GPU-backed search modes where available. Its package-manager niche is scientific computing rather than general CLI tooling: Homebrew, Debian, Ubuntu, and Nix packages make a research-grade sequence analysis engine available to workstation and server users without building the full C++ stack by hand.
来源
安全态势
风险级别：orange
infrastructure mutation or orchestration signal.
风险分类器
orange 风险 · 中 置信度 · infrastructure
原因
- infrastructure mutation or orchestration signal
信号
- text:cluster
安装行为
- formula 元数据中未记录 Homebrew post-install 钩子。
- Homebrew bottle 元数据适用于 6 个平台目标。
- 安装时包含 2 个运行时依赖。
- 构建元数据列出 1 个构建依赖。
建议审查
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
已安装的可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
mmseqs | cli | 全局可执行文件 |
新鲜度
版本和新鲜度
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。
页面生成时间2026-07-10
管理器版本18-8cc5c
管理器更新时间
本地数据OK
上游not checked
检测到的最新版本未检测到
https://github.com/soedinglab/MMseqs2
- 信息No package-manager update timestamp was available.低 置信度
- 信息No cached GitHub release or tag data was available.https://github.com/soedinglab/MMseqs2none 置信度
安装元数据
软件包元数据
| 软件包键 | brew:mmseqs2 |
|---|---|
| 版本 | 18-8cc5c |
| 软件包管理器 | Homebrew |
| 软件包管理器页面 | https://formulae.brew.sh/formula/mmseqs2 |
| 主页 | https://mmseqs.com/ |
| 仓库 | https://github.com/soedinglab/MMseqs2 |
| 上游文档 | https://github.com/soedinglab/MMseqs2/blob/master/README.md |
| 许可证 | MIT |
| 源码归档 | https://github.com/soedinglab/MMseqs2/archive/refs/tags/18-8cc5c.tar.gz |
| 依赖 | libomp, wget |
| 构建依赖 | cmake |
| macOS 提供的库 | bzip2 |
| Bottle | 可用 (于 arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | 未定义 |
| 服务 | 未声明 |
注册表事实
源数据库详情
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | mmseqs2 |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| 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
其他软件包管理器记录
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。
Debian apt95%
mmseqs2 15-6f452+ds-2+b3
ultra fast and sensitive protein search and clustering
https://github.com/soedinglab/MMseqs2
sudo apt install mmseqs2- Section: science
- Architecture: amd64
- Source Package: mmseqs2
- 8 依赖
- normalized package name match
- 匹配方式：Mmseqs2
Debian apt95%
mmseqs2-examples 15-6f452+ds-2
optional resources for the mmseqs2 package
https://github.com/soedinglab/MMseqs2
sudo apt install mmseqs2-examples- Section: science
- Architecture: all
- Source Package: mmseqs2
- 1 可选依赖
- normalized package name match
- 匹配方式：Mmseqs2
Nix95%
mmseqs2
nix profile install nixpkgs#mmseqs2- normalized package name match
- 匹配方式：Mmseqs2
Ubuntu apt95%
mmseqs2 15-6f452+ds-2
ultra fast and sensitive protein search and clustering
https://github.com/soedinglab/MMseqs2
sudo apt install mmseqs2- Section: universe/science
- Architecture: amd64
- 8 依赖
- normalized package name match
- 匹配方式：Mmseqs2
Ubuntu apt95%
mmseqs2-examples 15-6f452+ds-2
optional resources for the mmseqs2 package
https://github.com/soedinglab/MMseqs2
sudo apt install mmseqs2-examples- Section: universe/science
- Architecture: all
- Source Package: mmseqs2
- 1 可选依赖
- normalized package name match
- 匹配方式：Mmseqs2
来源线索
由仓库数据生成
此页面由 av-web 从 scripts/generate-pkg-sqlite.py 生成的私有软件包 SQLite 工件提供。
Combined YAML source
View the package source record on GitHub.
使用的来源
- Geiger risk classifier
- Nucleus package database
- av.db category and tag curation
- cross-ecosystem install command graph
- curated package history
- external package-manager database matches
- package relationship graph
- package version freshness
- package-page enrichment