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CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data

Author(s)
Hsu, Jonathan Y.; Fulco, Charles P.; Farouni, Rick; Clement, Kendell; Engreitz, Jesse Michael; Lander, Eric Steven; Pinello, Luca; ... Show more Show less
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Abstract
Tiling screens that use CRISPR-Cas technologies provide a powerful approach for the mapping of regulatory elements to phenotypes of interest1–6. Here we present CRISPR screening uncharacterized region function (CRISPR-SURF), a deconvolution framework that can be used to identify functional regulatory regions in the genome from data generated by CRISPR-Cas nuclease, CRISPR interference (CRISPRi), or CRISPR activation (CRISPRa) tiling screens. CRISPR-SURF can be run as a stand-alone command line utility (https://github.com/pinellolab/CRISPR-SURF) or as a web application (http://crisprsurf.pinellolab.org/)
Date issued
2018-12
URI
https://hdl.handle.net/1721.1/125387
Department
Massachusetts Institute of Technology. Department of Biological Engineering; Massachusetts Institute of Technology. Department of Biology
Journal
Nature methods
Publisher
Springer Science and Business Media LLC
Citation
Hsu, Jonathan Y. et al. “CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data.” Nature methods 15 (2018): 992-993 © 2018 The Author(s)
Version: Author's final manuscript
ISSN
1548-7091

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