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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_826f3204ee2b48118fd68b46cacf334f

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

About this item

Full title

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

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2018-08, Vol.19 (1), p.301-301, Article 301

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

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.
We present "rscreenorm", a method that standardizes the functional data ranges between screens using assay contro...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_826f3204ee2b48118fd68b46cacf334f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_826f3204ee2b48118fd68b46cacf334f

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/s12859-018-2306-z

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