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Evolution & Phylogenetics

mmseqs2 MSA Generation (from NS)

secondsPaperCodeProduction Ready

Rapidly generate diverse and quality MSAs with support for various pairing modes.

Details Paper Code

Job Name

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EXAMPLES

Input FASTA File *Pairing ModeDatabaseSettings JSON

Source: NeuroSnap.

Readiness

Readiness: Production Ready
Smoke: passed
Artifacts: passed
Production: ready
Storage: <5
Strategy: installed on Ubuntu backend via apt/venv; Slurm CPU adapter configured
Next: Ready for user-facing frontend submission; expand benchmark set before public production release.

Installed from Ubuntu apt mmseqs2 15-6f452+ds-2; Slurm smoke job 201 completed in 0.101 s and produced cluster TSV/FASTA artifacts. Temp directory uses /tmp because Seagate exFAT does not support MMseqs symlinks.

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