macOS
brew install mmseqs2local Homebrew formula metadata
brew
Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für mmseqs2 in AI-Agent-Workflows.
Installation
brew install mmseqs2local Homebrew formula metadata
sudo apt install mmseqs2Debian stable package indexes · mmseqs2 · Quelle: deb.debian.org
nix profile install nixpkgs#mmseqs2nixpkgs package indexes · pkgs/by-name/mm/mmseqs2/package.nix · Quelle: api.github.com
Überblick
Software suite for very fast sequence search and clustering
Verlauf
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.
Sicherheitslage
infrastructure mutation or orchestration signal.
orange Risiko · mittel Konfidenz · infrastructure
Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.
Executables
| Befehl | Art | Sichtbarkeit | Hinweis |
|---|---|---|---|
mmseqs | cli | globales Executable |
Aktualität
Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.
https://github.com/soedinglab/MMseqs2
Installationsmetadaten
| Paketschlüssel | brew:mmseqs2 |
|---|---|
| Version | 18-8cc5c |
| Paketmanager | Homebrew |
| Paketmanager-Seite | https://formulae.brew.sh/formula/mmseqs2 |
| Homepage | https://mmseqs.com/ |
| Repository | https://github.com/soedinglab/MMseqs2 |
| Upstream-Dokumentation | https://github.com/soedinglab/MMseqs2/blob/master/README.md |
| Lizenz | MIT |
| Quellarchiv | https://github.com/soedinglab/MMseqs2/archive/refs/tags/18-8cc5c.tar.gz |
| Abhängigkeiten | libomp, wget |
| Build-Abhängigkeiten | cmake |
| Von macOS bereitgestellte Bibliotheken | bzip2 |
| Bottle | verfügbar (auf arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | nicht definiert |
| Dienst | keiner deklariert |
Registry-Fakten
| 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 |
|
Source-Datenbank-Treffer
Treffer stammen aus externen Paketmanager-Indizes und bleiben von lokalen Automic-Vault-Paketlinks getrennt.
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-examplesQuellspur
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View the package source record on GitHub.