Details

Autor(en) / Beteiligte

• Dong, Chuan
• Zeng, Zhi
• Pu, Dong‐Kai
• Wen, Qing‐Feng
• Liu, Shuo
• Du, Meng‐Ze
• Sun, Yan
• Gao, Yi‐Zhou
• Rao, Nini
• Huang, Jian
• Guo, Feng‐Biao

Titel

CasLocusAnno: a web‐based server for annotating cas loci and their corresponding (sub)types

Ist Teil von

• FEBS letters, 2019-09, Vol.593 (18), p.2646-2654

Ort / Verlag

England

Erscheinungsjahr

2019

Quelle

Access via Wiley Online Library

Beschreibungen/Notizen

• In prokaryotes, Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR‐associated protein (Cas) systems constitute adaptive immune systems against mobile genetic elements (MGEs). Here, we introduce the Markov cluster algorithm (MCL) to Makarova et al.'s method in order to select a more reasonable profile. Additionally, our new Maximum Continuous Cas Subcluster (MCCS) method helps identification of tightly clustered loci. The comparison with two other commonly used programs shows that the method could identify Cas proteins with higher accuracy and lower Additional Prediction Rate (APR). Moreover, we developed a web‐based server, CasLocusAnno (http://cefg.uestc.cn/CasLocusAnno), capable of annotating Cas proteins, cas loci and their (sub)types less than ~ 28 s following the whole proteome sequence submission. Its standalone version can be downloaded at https://github.com/RiversDong/CasLocusAnno.