ArticleMicrobial genomics2018
chewBBACA: A complete suite for gene-by-gene schema creation and strain identification.
Article in Microbial genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 339 papers.
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Who cites it
339 citing papers in PubMed.
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- Linking land use to the likely origins of third-generation cephalosporin-resistant Enterobacterales in freshwater.Applied and environmental microbiology · 2026Article
- Plasmids of co-circulating Staphylococcus aureus serve as vehicles for antimicrobial resistance sharing across diseased host-species at short timescales.BMC microbiology · 2026Article
- Whole-genome sequencing ofMicrobiology spectrum · 2026Article
- Pathogenic characterization and genome-wide evolutionary analysis of Bacillus anthracis from a cutaneous anthrax case in Inner Mongolia, China.BMC microbiology · 2026Article
- Genomic and phylogenomic analyses reveal extensive diversity among soil-derived Acinetobacter baumannii isolates from Nigeria.Scientific reports · 2026Article
- Strategies for integrating whole-genome sequencing into antimicrobial resistance surveillance.BMC genomics · 2026Review
- Whole-genome sequencing ofJournal of medical microbiology · 2026Article
279 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene-by-gene approaches are becoming increasingly popular in bacterial genomic epidemiology and outbreak detection. However, there is a lack of open-source scalable software for schema definition and allele calling for these methodologies. The chewBBACA suite was designed to assist users in the creation and evaluation of novel whole-genome or core-genome gene-by-gene typing schemas and subsequent allele calling in bacterial strains of interest. chewBBACA performs the schema creation and allele calls on complete or draft genomes resulting from de novo assemblers. The chewBBACA software uses Python 3.4 or higher and can run on a laptop or in high performance clusters making it useful for both small laboratories and large reference centers. ChewBBACA is available at https://github.com/B-UMMI/chewBBACA.
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Registered trials
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 OpenQuestion graph.