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Article

gespeR: a statistical model for deconvoluting off-target-confounded RNA interference screens.

Genome biology - 7 Oct 2015

Schmich Fabian, Szczurek Ewa, Kreibich Saskia, Dilling Sabrina, Andritschke Daniel, Casanova Alain, Low Shyan Huey, Eicher Simone, Muntwiler Simone, Emmenlauer Mario, Rämö Pauli, Conde-Alvarez Raquel, von Mering Christian, Hardt Wolf-Dietrich, Dehio Christoph, Beerenwinkel Niko

Abstract excerpt

Small interfering RNAs (siRNAs) exhibit strong off-target effects, which confound the gene-level interpretation of RNA interference screens and thus limit their utility for functional genomics studies. Here, we present gespeR, a statistical model for reconstructing individual, gene-specific phenotypes. Using 115,878 siRNAs, single and pooled, from three companies in three pathogen infection screens, we...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 26445817
DOI: 10.1186/s13059-015-0783-1
PMCID: PMC4597449

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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