Evidence map›Paper›PMID 37036103›Full record

ArticleGigaScience2022

The GEN-ERA toolbox: unified and reproducible workflows for research in microbial genomics.

Luc Cornet, Benoit Durieu, Frederik Baert, Elizabet D'hooge, David Colignon, Loic Meunier, Valérian Lupo, Ilse Cleenwerck, Heide-Marie Daniel, Leen Rigouts and 6 more

Abstract read
In one paragraph

Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. International journal of systematic and evolutionary microbiology · 2025
    Article
  8. Article
  9. TADA: taxonomy-aware dataset aggregator.Bioinformatics (Oxford, England) · 2023
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Luc CornetBCCM/IHEM, Mycology and Aerobiology, Sciensano, 1050, Brussels, Belgium.ORCID 0000-0002-3420-4488
Benoit DurieuInBioS, Physiology and Bacterial Genetics, University of Liège, 4000, Liège, Belgium.ORCID 0000-0003-4801-7277
Frederik BaertBCCM/IHEM, Mycology and Aerobiology, Sciensano, 1050, Brussels, Belgium.ORCID 0000-0001-7068-1399
Elizabet D'hoogeBCCM/IHEM, Mycology and Aerobiology, Sciensano, 1050, Brussels, Belgium.ORCID 0009-0002-5798-0751
David ColignonApplied and Computational Electromagnetics (ACE), University of Liège, 4000, Liège, Belgium.ORCID 0000-0002-3819-9276
Loic MeunierInBioS-PhytoSYSTEMS, Eukaryotic Phylogenomics, University of Liège, 4000, Liège, Belgium.ORCID 0000-0003-2541-0279
Valérian LupoInBioS-PhytoSYSTEMS, Eukaryotic Phylogenomics, University of Liège, 4000, Liège, Belgium.ORCID 0000-0002-5532-2483
Ilse CleenwerckBCCM/LMG and Laboratory of Microbiology, Faculty of Sciences, Ghent University, 9000, Ghent, Belgium.ORCID 0000-0001-9943-4199
Heide-Marie DanielBCCM/MUCL and Laboratory of Mycology, Earth and Life Institute, Université catholique de Louvain, ELIM 1348, Louvain-la-Neuve, Belgium.ORCID 0000-0003-3057-7970
Leen RigoutsBCCM/ITM, Mycobacteriology Unit, Institute of Tropical Medicine, 2000, Antwerp, Belgium.ORCID 0000-0003-3301-9480
Damien SirjacobsInBioS-PhytoSYSTEMS, Eukaryotic Phylogenomics, University of Liège, 4000, Liège, Belgium.ORCID 0000-0002-1770-2063
Stéphane DeclerckBCCM/MUCL and Laboratory of Mycology, Earth and Life Institute, Université catholique de Louvain, ELIM 1348, Louvain-la-Neuve, Belgium.ORCID 0000-0002-0459-5975
Peter VandammeBCCM/LMG and Laboratory of Microbiology, Faculty of Sciences, Ghent University, 9000, Ghent, Belgium.ORCID 0000-0002-5581-7937
Annick WilmotteInBioS, Physiology and Bacterial Genetics, University of Liège, 4000, Liège, Belgium.ORCID 0000-0003-3546-3489
Denis BaurainInBioS-PhytoSYSTEMS, Eukaryotic Phylogenomics, University of Liège, 4000, Liège, Belgium.ORCID 0000-0003-2388-6185
Pierre BeckerBCCM/IHEM, Mycology and Aerobiology, Sciensano, 1050, Brussels, Belgium.ORCID 0000-0001-6158-102X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrobial 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).

findingsThis 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.

conclusionThe 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.

Indexed as

Computational BiologyGenomicsGenome, MicrobialPhylogenyReproducibility of ResultsWorkflowculture collectionsCyanobacteriagenomicsGloeobacteralesmetagenomicsnextflowphylogenomicsphylogenySingularity containersworkflow

Identifiers

PMID37036103
PMCPMC10084500

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.