macOS
brew install mmseqs2local Homebrew formula metadata
安装
brew install mmseqs2local Homebrew formula metadata
sudo apt install mmseqs2Debian stable package indexes · mmseqs2 · 来源: deb.debian.org
nix profile install nixpkgs#mmseqs2nixpkgs package indexes · pkgs/by-name/mm/mmseqs2/package.nix · 来源: api.github.com
概览
Software suite for very fast sequence search and clustering
历史
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.
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.
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.
安全态势
infrastructure mutation or orchestration signal.
orange 风险 · 中 置信度 · infrastructure
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 |
|---|---|---|---|
mmseqs | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
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:mmseqs2 |
|---|---|
| 版本 | 18-8cc5c |
| 软件包管理器 | Homebrew |
| 主页 | https://mmseqs.com/ |
| 仓库 | https://github.com/soedinglab/MMseqs2 |
| Bottle | 未记录 |
| 服务 | 未声明 |
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。
mmseqs2 15-6f452+ds-2+b3
ultra fast and sensitive protein search and clustering
https://github.com/soedinglab/MMseqs2
sudo apt install mmseqs2mmseqs2-examples 15-6f452+ds-2
optional resources for the mmseqs2 package
https://github.com/soedinglab/MMseqs2
sudo apt install mmseqs2-examplesmmseqs2
nix profile install nixpkgs#mmseqs2mmseqs2 15-6f452+ds-2
ultra fast and sensitive protein search and clustering
https://github.com/soedinglab/MMseqs2
sudo apt install mmseqs2mmseqs2-examples 15-6f452+ds-2
optional resources for the mmseqs2 package
https://github.com/soedinglab/MMseqs2
sudo apt install mmseqs2-examples来源线索
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View the package source record on GitHub.