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pmid:41450201
BPSS: a Nextflow pipeline for Bacterial Peptide Sequence Selection to detect protein diversity.
Sylvère Bastien · Pauline François · Sara Moussadeq · Jérôme Lemoine · Karen Moreau · François Vandenesch
Bioinformatics (Oxford, England) · 2026 doi:10.1093/bioinformatics/btaf677
Paper
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Experiment
partial
Data
partial
Analysis
complete
Execution
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Complete file
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For most species, there are no automated, computationally efficient tools available for constructing a nonredundant database covering the allelic variability of target proteins.\nRESULTS: We have thus developed Bacterial Peptide Sequence Selection, a Nextflow pipeline to define a minimal list of peptide sequences for detecting all variants of a protein of interest.\nAVAILABILITY AND IMPLEMENTATION: All the code and containers used are freely available on Gitlab from https://gitbio.ens-lyon.fr/ciri/stapath/bpss or on Zenodo (10.5281/zenodo.16894981) under GPLv3 open-source license and DockerHub platform from https://hub.docker.com/u/stapath.", "claims": [{"id": "claim-method", "statement": "Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41450201", "locator": "sections[9] \"3 Results and discussion\" paragraph 2", "quote": "Linear regression analysis suggests that WhatsGNU (Moustafa and Planet 2020) would exceed 64 GB of memory consumption with >128 000 genomes, while BPSS would reach this threshold only beyond 622 000 genomes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The latest release of BPSS and documentation can be found at https://gitbio.ens-lyon.fr/ciri/stapath/bpss or at 10.5281/zenodo.16894981. 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