Multi-proteins similarity-based sampling to select representative genomes from large databases
MPS-Sampling provides an efficient, fast and scalable way to sample large collections of genomes in an acceptable computational time. MPS-Sampling does not rely on taxonomic information and does not require the inference of phylogenetic trees, thus avoiding the biases inherent in these approaches. As such, MPS-Sampling meets the needs of a growing number of users.
Authors
- Jean‐Pierre Flandrois (ORCID: https://orcid.org/0000-0002-4953-9125)
- Frédéric Jauffrit
- Jean‐Philippe Charrier (ORCID: https://orcid.org/0000-0001-5769-1189)
- Céline Brochier‐Armanet (ORCID: https://orcid.org/0000-0003-4669-3589)
- Rémi-Vinh Coudert
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Laboratoire de Biométrie et Biologie Evolutive (FR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1186/s12859-025-06095-3
- Primary Topic
- Genomics and Phylogenetic Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agence Nationale de la Recherche
- Association Nationale de la Recherche et de la Technologie
- bioMérieux