KiNext: a portable and scalable workflow for the identification and classification of protein kinases
The KiNext pipeline enables efficient and reproducible identification of kinomes based on predicted amino acid sequences (i.e. proteomes). KiNext was designed to be easy to use, automated, portable and scalable.
Authors
- Charlotte Corporeau (ORCID: https://orcid.org/0000-0003-1187-358X)
- Flávia L. D. Nunes (ORCID: https://orcid.org/0000-0002-3947-6634)
- Alexandre Cormier (ORCID: https://orcid.org/0000-0002-7775-8413)
- Elisabeth Hellec
Institutions
- Centre National de la Recherche Scientifique (FR)
- Ifremer (FR)
- Université de Bretagne Occidentale (FR)
- Laboratoire des Sciences de l'Environnement Marin (FR)
- Institut de Recherche pour le Développement (FR)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1186/s12859-024-05953-w
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00