期刊
BIOINFORMATICS
卷 33, 期 22, 页码 3642-3644出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btx472
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资金
- National Natural Science Foundation of China (NSFC) [31171397, 31271533, 31301085, 81330055, 91640119]
- Pearl River Nova Program of Guangzhou [2012T50739, 201710010044]
- National Natural Science Funds of Guangdong Province for Distinguished Young Scholar [2014A030306044]
- CPRIT [RP160462]
- Welch Foundation [Q-1673]
The CRISPR/Cas System has been shown to be an efficient and accurate genome-editing technique. There exist a number of tools to design the guide RNA sequences and predict potential off-target sites. However, most of the existing computational tools on gRNA design are restricted to small deletions. To address this issue, we present pgRNAFinder, with an easy-to-use web interface, which enables researchers to design single or distance-free paired-gRNA sequences. The web interface of pgRNAFinder contains both gRNA search and scoring system. After users input query sequences, it searches gRNA by 3' protospacer-adjacent motif (PAM), and possible off-targets, and scores the conservation of the deleted sequences rapidly. Filters can be applied to identify high-quality CRISPR sites. PgRNAFinder offers gRNA design functionality for 8 vertebrate genomes. Furthermore, to keep pgRNAFinder open, extensible to any organism, we provide the source package for local use.
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