FEBS LettersBioinformaticsPeer-reviewed journal article
CasLocusAnno: a web-based server for annotating Cas loci and their corresponding (sub)types
Chuan DongiD, Zhi Zeng, Dong‐Kai Pu, Qing‐Feng WeniD, Shuo LiuiD, Meng‐Ze DuiD, Yan SuniD, Yi‐Zhou GaoiD, Nini RaoiD, Jian Hua HuangiD, Feng‐Biao GuoiD
- Citations
- 2
- FWCI
- 0.08
- Field percentile
- 38th percentile
Abstract
CRISPR-Cas systems are prevalent in bacterial and archaeal genomes, and these systems provide a powerful adaptive immune system against predation by phages and other mobile genetic elements (MGEs). They also contribute to other functions, such as gene regulation in prokaryotic organisms. Determining Cas proteins and Cas loci can help mine Cas proteins and facilitate the identification of Cas-associated accessory proteins. Therefore, the purpose of this work is to develop a web-based server, CasLocusAnno, to annotate Cas proteins and Cas loci and to classify them according to (sub)type based on a previous study. CasLocusAnno can annotate Cas proteins and Cas loci and assign their (sub)types within {bsim}28 seconds for whole protein sequence submissions, with protein sequence numbers ranging from {bsim}30 to {bsim}10500. Comparison with Makarova et al.s benchmark data demonstrates that CasLocusAnno can accurately identify Cas loci and (sub)types. In addition, CasLocusAnno can identify Cas proteins with higher accuracy and a lower additional prediction rate (APR) than two excellent software programs, CRISPRCasFinder and MacSyFinder. The domain alignment of a Cas protein can be easily browsed in the annotation results. Our server can be freely accessed at http://cefg.uestc.edu.cn/CasLocusAnno/.
- organism: bacteria (other)
- assay: protein sequence
- research focus: software / tool
- research focus: benchmarking
- research focus: gene regulatory network inference
- research focus: variant calling
- approach: statistical model
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