SelCysML: a hybrid ML-BLAST pipeline for the automated identification and functional annotation of bacterial selenoproteins.
- DOI
- 10.3389/fbinf.2026.2001675
- Published
- 2026
- Container
- Frontiers in bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fbinf.2026.2001675,
title = {SelCysML: a hybrid ML-BLAST pipeline for the automated identification and functional annotation of bacterial selenoproteins.},
author = {Lavín JL and Oguiza JA},
year = {2026},
journal = {Frontiers in bioinformatics},
doi = {10.3389/fbinf.2026.2001675},
url = {https://doi.org/10.3389/fbinf.2026.2001675}
}RIS
TY - JOUR TI - SelCysML: a hybrid ML-BLAST pipeline for the automated identification and functional annotation of bacterial selenoproteins. AU - Lavín JL AU - Oguiza JA PY - 2026 JO - Frontiers in bioinformatics DO - 10.3389/fbinf.2026.2001675 UR - https://doi.org/10.3389/fbinf.2026.2001675 ER -
APA
JL, L., & JA, O. (2026). SelCysML: a hybrid ML-BLAST pipeline for the automated identification and functional annotation of bacterial selenoproteins.. Frontiers in bioinformatics. https://doi.org/10.3389/fbinf.2026.2001675