CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data
Name
nihms-1030070.pdf
Description
Accepted version
Size
127.82 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Hsu, Jonathan Y.
Fulco, Charles P.
Farouni, Rick
Clement, Kendell
Engreitz, Jesse Michael
Lander, Eric Steven
Pinello, Luca
Date Issued
December 2018
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
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/)
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1038/S41592-018-0225-6
