A machine learning-derived genomic dataset from bacteria frequently reported as probiotics.

Saved in:
Bibliographic Details
Title: A machine learning-derived genomic dataset from bacteria frequently reported as probiotics.
Authors: Neres Rodrigues DL; Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil., Sodrzeieski PA; Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.; Federal University of Pernambuco, Recife, Pernambuco, Brazil., Auger S; MICALIS Institute, INRAe, Jouy-en-Josas, France., Chatel JM; MICALIS Institute, INRAe, Jouy-en-Josas, France., Benko-Iseppon AM; Federal University of Pernambuco, Recife, Pernambuco, Brazil., Azevedo V; Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil., de Castro Soares S; Federal University of Triângulo Mineiro, Uberaba, Minas Gerais, Brazil., Aburjaile FF; Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Source: Frontiers in bioinformatics [Front Bioinform] 2026 Apr 22; Vol. 6, pp. 1810235. Date of Electronic Publication: 2026 Apr 22 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918227263306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-7647 (Electronic) Linking ISSN: 26737647 NLM ISO Abbreviation: Front Bioinform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2673-7647
DOI:10.3389/fbinf.2026.1810235