ArticleBMC bioinformatics2014
eCAMBer: efficient support for large-scale comparative analysis of multiple bacterial strains.
Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Genomic Epidemiology and Strain Taxonomy ofJournal of clinical microbiology · 2021Article
- High-Resolution Typing ofJournal of clinical microbiology · 2021Article
- Accurate reconstruction of bacterial pan- and core genomes with PEPPAN.Genome research · 2020Article
- Genus-wide Leptospira core genome multilocus sequence typing for strain taxonomy and global surveillance.PLoS neglected tropical diseases · 2019Article
- Article
- GWAMAR: genome-wide assessment of mutations associated with drug resistance in bacteria.BMC genomics · 2014Article
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Authors and funding
3 authors.
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Abstract
backgroundInconsistencies are often observed in the genome annotations of bacterial strains. Moreover, these inconsistencies are often not reflected by sequence discrepancies, but are caused by wrongly annotated gene starts as well as mis-identified gene presence. Thus, tools are needed for improving annotation consistency and accuracy among sets of bacterial strain genomes.
resultsWe have developed eCAMBer, a tool for efficiently supporting comparative analysis of multiple bacterial strains within the same species. eCAMBer is a highly optimized revision of our earlier tool, CAMBer, scaling it up for significantly larger datasets comprising hundreds of bacterial strains. eCAMBer works in two phases. First, it transfers gene annotations among all considered bacterial strains. In this phase, it also identifies homologous gene families and annotation inconsistencies. Second, eCAMBer, tries to improve the quality of annotations by resolving the gene start inconsistencies and filtering out gene families arising from annotation errors propagated in the previous phase.
conclusions[corrected] eCAMBer efficiently identifies and resolves annotation inconsistencies among closely related bacterial genomes. It outperforms other competing tools both in terms of running time and accuracy of produced annotations. Software, user manual, and case study results are available at the project website: http://bioputer.mimuw.edu.pl/ecamber.
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