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The GEN-ERA toolbox: unified and reproducible workflows for research in microbial genomics.
Cornet, Luc; Durieu, Benoit; Baert, Frederik; D'hooge, Elizabet; Colignon, David; Meunier, Loic; Lupo, Valérian; Cleenwerck, Ilse; Daniel, Heide-Marie; Rigouts, Leen; Sirjacobs, Damien; Declerck, Stéphane; Vandamme, Peter; Wilmotte, Annick; Baurain, Denis; Becker, Pierre.
Afiliação
  • Cornet L; BCCM/IHEM, Mycology and Aerobiology, Sciensano, 1050, Brussels, Belgium.
  • Durieu B; InBioS, Physiology and Bacterial Genetics, University of Liège, 4000, Liège, Belgium.
  • Baert F; BCCM/IHEM, Mycology and Aerobiology, Sciensano, 1050, Brussels, Belgium.
  • D'hooge E; BCCM/IHEM, Mycology and Aerobiology, Sciensano, 1050, Brussels, Belgium.
  • Colignon D; Applied and Computational Electromagnetics (ACE), University of Liège, 4000, Liège, Belgium.
  • Meunier L; InBioS-PhytoSYSTEMS, Eukaryotic Phylogenomics, University of Liège, 4000, Liège, Belgium.
  • Lupo V; InBioS-PhytoSYSTEMS, Eukaryotic Phylogenomics, University of Liège, 4000, Liège, Belgium.
  • Cleenwerck I; BCCM/LMG and Laboratory of Microbiology, Faculty of Sciences, Ghent University, 9000, Ghent, Belgium.
  • Daniel HM; BCCM/MUCL and Laboratory of Mycology, Earth and Life Institute, Université catholique de Louvain, ELIM 1348, Louvain-la-Neuve, Belgium.
  • Rigouts L; BCCM/ITM, Mycobacteriology Unit, Institute of Tropical Medicine, 2000, Antwerp, Belgium.
  • Sirjacobs D; InBioS-PhytoSYSTEMS, Eukaryotic Phylogenomics, University of Liège, 4000, Liège, Belgium.
  • Declerck S; BCCM/MUCL and Laboratory of Mycology, Earth and Life Institute, Université catholique de Louvain, ELIM 1348, Louvain-la-Neuve, Belgium.
  • Vandamme P; BCCM/LMG and Laboratory of Microbiology, Faculty of Sciences, Ghent University, 9000, Ghent, Belgium.
  • Wilmotte A; InBioS, Physiology and Bacterial Genetics, University of Liège, 4000, Liège, Belgium.
  • Baurain D; InBioS-PhytoSYSTEMS, Eukaryotic Phylogenomics, University of Liège, 4000, Liège, Belgium.
  • Becker P; BCCM/IHEM, Mycology and Aerobiology, Sciensano, 1050, Brussels, Belgium.
Gigascience ; 122022 12 28.
Article em En | MEDLINE | ID: mdl-37036103
BACKGROUND: Microbial culture collections play a key role in taxonomy by studying the diversity of their strains and providing well-characterized biological material to the scientific community for fundamental and applied research. These microbial resource centers thus need to implement new standards in species delineation, including whole-genome sequencing and phylogenomics. In this context, the genomic needs of the Belgian Coordinated Collections of Microorganisms were studied, resulting in the GEN-ERA toolbox. The latter is a unified cluster of bioinformatic workflows dedicated to both bacteria and small eukaryotes (e.g., yeasts). FINDINGS: This public toolbox allows researchers without a specific training in bioinformatics to perform robust phylogenomic analyses. Hence, it facilitates all steps from genome downloading and quality assessment, including genomic contamination estimation, to tree reconstruction. It also offers workflows for average nucleotide identity comparisons and metabolic modeling. TECHNICAL DETAILS: Nextflow workflows are launched by a single command and are available on the GEN-ERA GitHub repository (https://github.com/Lcornet/GENERA). All the workflows are based on Singularity containers to increase reproducibility. TESTING: The toolbox was developed for a diversity of microorganisms, including bacteria and fungi. It was further tested on an empirical dataset of 18 (meta)genomes of early branching Cyanobacteria, providing the most up-to-date phylogenomic analysis of the Gloeobacterales order, the first group to diverge in the evolutionary tree of Cyanobacteria. CONCLUSION: The GEN-ERA toolbox can be used to infer completely reproducible comparative genomic and metabolic analyses on prokaryotes and small eukaryotes. Although designed for routine bioinformatics of culture collections, it can also be used by all researchers interested in microbial taxonomy, as exemplified by our case study on Gloeobacterales.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica Tipo de estudo: Prognostic_studies Idioma: En Revista: Gigascience Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica Tipo de estudo: Prognostic_studies Idioma: En Revista: Gigascience Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Bélgica