scsR

scsR corrects seed-mediated off-target effects in genome-wide small interfering RNA (siRNA) screens to improve the specificity and interpretation of gene-silencing functional genomics studies.

Key Features:

• Correction for Off-Target Effects: Adjusts siRNA screen results to account for unintended interactions caused by seed sequences that bind multiple mRNA targets.
• Identification of Effective Seeds/miRNAs: Provides functions to identify seed sequences and microRNAs (miRNAs) associated with observed phenotypic changes in siRNA screens.
• Visualization Capabilities: Offers visualization functions to display the impact of seed-mediated effects on experimental datasets.

Scientific Applications:

• Functional Genomics: Enhances accuracy of siRNA-based functional genomics studies by mitigating seed-mediated off-target confounding.
• Drug Discovery: Improves identification of candidate therapeutic targets in RNA-focused discovery pipelines by clarifying on-target versus off-target effects.
• Gene Regulation Studies: Refines analyses of miRNA-mediated regulation and its consequences for gene expression and regulatory network interpretation.

Methodology:

Implemented in the R programming language and distributed via Bioconductor, the package implements seed-mediated off-target correction algorithms, provides visualization functions, and integrates with other Bioconductor packages.