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

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

Abstract Background Reproducibility of hits from independent CRISPR or siRNA screens is poor. This is partly due to data normalization primarily addressing technical variability within independent screens, and not the technical differences between them. Results We present “rscreenorm”, a method that...

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Bibliographic Details
Main Authors: Costa Bachas, Jasmina Hodzic, Johannes C. van der Mijn, Chantal Stoepker, Henk M. W. Verheul, Rob M. F. Wolthuis, Emanuela Felley-Bosco, Wessel N. van Wieringen, Victor W. van Beusechem, Ruud H. Brakenhoff, Renée X. de Menezes
Format: Article
Language:English
Published: BMC 2018-08-01
Series:BMC Bioinformatics
Subjects:
Functional genomics
Reproducibility
Normalization
Online Access:http://link.springer.com/article/10.1186/s12859-018-2306-z

Internet

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

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