WGE: a CRISPR database for genome engineering

• Published in: Bioinformatics Vol. 31; no. 18; pp. 3078 - 3080
• Main Authors: Hodgkins, Alex, Farne, Anna, Perera, Sajith, Grego, Tiago, Parry-Smith, David J, Skarnes, William C, Iyer, Vivek
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 15.09.2015
• Subjects: Animals; Applications Notes; Bioinformatics; Clustered Regularly Interspaced Short Palindromic Repeats - genetics; CRISPR-Cas Systems - genetics; Databases, Factual; Editing; Gene Expression Regulation; Genes; Genetic Vectors; Genome; Genomes; Humans; Mice; Online; RNA Editing - genetics; Scoring; Software; Translations
• DOI: 10.1093/bioinformatics/btv308
• ISSN: 1367-4803

The rapid development of CRISPR-Cas9 mediated genome editing techniques has given rise to a number of online and stand-alone tools to find and score CRISPR sites for whole genomes. Here we describe the Wellcome Trust Sanger Institute Genome Editing database (WGE), which uses novel methods to compute, visualize and select optimal CRISPR sites in a genome browser environment. The WGE database currently stores single and paired CRISPR sites and pre-calculated off-target information for CRISPRs located in the mouse and human exomes. Scoring and display of off-target sites is simple, and intuitive, and filters can be applied to identify high-quality CRISPR sites rapidly. WGE also provides a tool for the design and display of gene targeting vectors in the same genome browser, along with gene models, protein translation and variation tracks. WGE is open, extensible and can be set up to compute and present CRISPR sites for any genome. The WGE database is freely available at www.sanger.ac.uk/htgt/wge : vvi@sanger.ac.uk or skarnes@sanger.ac.uk Supplementary data are available at Bioinformatics online.