Rscreenorm: normalization of CRISPR and siRNA screen data for more reproducible hit selection-Reference-Cited by-同舟云学术

Rscreenorm: normalization of CRISPR and siRNA screen data for more reproducible hit selection

Published:2018-08-20 Issue:1 Volume:19 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Bachas Costa,Hodzic Jasmina,van der Mijn Johannes C.,Stoepker Chantal,Verheul Henk M. W.,Wolthuis Rob M. F.,Felley-Bosco Emanuela,van Wieringen Wessel N.,van Beusechem Victor W.,Brakenhoff Ruud H.,de Menezes Renée X.

Funder

Stichting VUmc Cancer Center Amsterdam

KWF Kankerbestrijding

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/content/pdf/10.1186/s12859-018-2306-z.pdf

Reference26 articles.

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3. Boutros M, Ahringer J. The art and design of genetic screens: RNA interference. Nat Rev Genet. 2008; 9(7):554–66.

4. Boettcher M, McManus MT. Choosing the Right Tool for the Job: RNAi, TALEN, or CRISPR. Mol Cell. 2015; 58(4):575–85.

5. Cong L, Ran FA, Cox D, Lin S, Barretto R, Habib N, Hsu PD, Wu X, Jiang W, Marraffini LA, Zhang F. Multiplex Genome Engineering Using CRISPR/Cas Systems. Science. 2013; 339(6121):819–23.

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