# refresh-bio/FAMSA

<https://repo.masters-masters.com/en/repos/refresh-bio/FAMSA>

[Home](https://repo.masters-masters.com/en) › [refresh-bio](https://repo.masters-masters.com/en/owners/refresh-bio) › [FAMSA](https://repo.masters-masters.com/en/repos/refresh-bio/FAMSA)

refresh-bio/FAMSA has 278 stars on GitHub. Its RepoMasters card: Alpha tier. Algorithm for ultra-scale multiple protein sequence alignments: 3 million ABC…

| Field | Value |
| --- | --- |
| Owner | [refresh-bio](https://repo.masters-masters.com/en/owners/refresh-bio) |
| Stars | 278 |
| Forks | 36 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | GPL-3.0 |
| Created | 2016 |
| Topics | bioinformatics, multiple-sequence-alignment, proteomics, longest-common-subsequence, pfam, guide-tree, sequence-similarity |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [refresh-bio/FAMSA](https://github.com/refresh-bio/FAMSA) |

## Repository

Algorithm for ultra-scale multiple protein sequence alignments: 3 million ABC transporters analyzed in 5 minutes and 18 GB of RAM.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.