FAMSA
importedsoftware/famsa
Algorithm for ultra-scale multiple sequence alignments (3M protein sequences in 5 minutes and 24 GB of RAM)
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- refresh-bio
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/refresh-bio/FAMSA
- Documentation
- unknown
- Tags
- bioinformatics · guide-tree · longest-common-subsequence · multiple-sequence-alignment · pfam · proteomics · sequence-similarity
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- bioinformatics-toolkitbioinformatics · pfam · proteomics
Command-line tools for genomics and proteomics analysis
- flexidotbioinformatics · longest-common-subsequence
Highly customizable, ambiguity-aware dotplots for visual sequence analyses
- kmer-dbbioinformatics · sequence-similarity
Kmer-db is a fast and memory-efficient tool for large-scale k-mer analyses (indexing, querying, estimating evolutionary relationships, etc.).
- ColabFoldbioinformatics · multiple-sequence-alignment
Making Protein folding accessible to all!
- pyfamsabioinformatics · multiple-sequence-alignment
Cython bindings and Python interface to FAMSA, an algorithm for ultra-scale multiple sequence alignments.
- pyMSAvizbioinformatics · multiple-sequence-alignment
MSA(Multiple Sequence Alignment) visualization python package for sequence analysis
- api.github.com/repos/refresh-bio/FAMSAretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-20, 270 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/63.json→ .entries["famsa"]
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