ArticleBMC bioinformatics2019
CSESA: an R package to predict Salmonella enterica serotype based on newly incorporated spacer pairs of CRISPR.
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Typing methods based on whole genome sequencing data.One health outlook · 2020Review
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Authors and funding
7 authors.
Funding
Abstract
backgroundSalmonella enterica is a major cause of bacterial food-borne disease worldwide. Immunological serotyping is the most commonly used typing method to characterize S. enterica isolates, but is time-consuming and requires expensive reagents. Here, we developed an R package CSESA (CRISPR-based Salmonella enterica Serotype Analyzer) to predict the serotype based on the CRISPR loci of S. enterica.
resultsCSESA has implemented the CRISPR typing method CLSPT and extended its coverage on diverse S. enterica serotypes. This package takes CRISPR sequences or the genome sequences as input and provides users with the predicted serotypes. CSESA has shown excellent performance with currently available sequences of S. enterica.
conclusionsCSESA is a convenient and useful tool for the prediction of S. enterica serotypes. The application of CSESA package can improve the efficiency of serotyping for S. enterica and reduce the burden of manpower resources. CSESA is freely available from CRAN at https://cran.r-project.org/web/packages/CSESA/ .
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