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

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 regulator...

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Main Authors: Hsu, Jonathan Y., Fulco, Charles P., Farouni, Rick, Clement, Kendell, Engreitz, Jesse Michael, Lander, Eric Steven, Pinello, Luca
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2020
Online Access:https://hdl.handle.net/1721.1/125387
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author Hsu, Jonathan Y.
Fulco, Charles P.
Farouni, Rick
Clement, Kendell
Engreitz, Jesse Michael
Lander, Eric Steven
Pinello, Luca
author2 Massachusetts Institute of Technology. Department of Biological Engineering
author_facet Massachusetts Institute of Technology. Department of Biological Engineering
Hsu, Jonathan Y.
Fulco, Charles P.
Farouni, Rick
Clement, Kendell
Engreitz, Jesse Michael
Lander, Eric Steven
Pinello, Luca
author_sort Hsu, Jonathan Y.
collection MIT
description 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/)
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spelling mit-1721.1/1253872022-10-02T01:41:41Z CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data Hsu, Jonathan Y. Fulco, Charles P. Farouni, Rick Clement, Kendell Engreitz, Jesse Michael Lander, Eric Steven Pinello, Luca Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Biology 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/) National Human Genome Research Institute (U.S.) (Career Development Award R00 HG008399) National Human Genome Research Institute (U.S.). Centers of Excellence in Genomic Science (Grant RM1HG009490) National Institutes of Health (U.S.) (Grant R35 GM118158) National Institutes of Health (U.S.) (Grant RM1 HG009490) National Human Genome Research Institute (U.S.) (Grant 1K99HG009917-01) 2020-05-21T19:12:31Z 2020-05-21T19:12:31Z 2018-12 2020-01-22T17:53:53Z Article http://purl.org/eprint/type/JournalArticle 1548-7091 https://hdl.handle.net/1721.1/125387 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) en 10.1038/S41592-018-0225-6 Nature methods 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. application/pdf Springer Science and Business Media LLC PMC
spellingShingle Hsu, Jonathan Y.
Fulco, Charles P.
Farouni, Rick
Clement, Kendell
Engreitz, Jesse Michael
Lander, Eric Steven
Pinello, Luca
CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data
title CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data
title_full CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data
title_fullStr CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data
title_full_unstemmed CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data
title_short CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data
title_sort crispr surf discovering regulatory elements by deconvolution of crispr tiling screen data
url https://hdl.handle.net/1721.1/125387
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