HiTSelect

HiTSelect deconvolves and analyzes pooled high-throughput genetic screens from next-generation sequencing readouts to identify screen hits and support downstream functional and network interpretation.

Key Features:

• Rigorous statistical analysis: Implements statistical modules to identify screen hits and address random noise and statistical biases in high-throughput data.
• Off-target effect mitigation: Integrates relevant metadata to detect and mitigate off-target effects in genetic screens.
• Variance control: Controls for variance in gene silencing efficiency and sequencing depth of coverage.
• Functional and network analysis: Provides downstream analysis to explore biological pathways and interactions implicated by screen hits.

Scientific Applications:

• Genome-wide RNAi screens: Analysis and hit selection from pooled RNAi screens using next-generation sequencing readouts.
• CRISPR/Cas9 screens: Analysis and hit selection from pooled CRISPR/Cas9 screens using next-generation sequencing readouts.
• Gene function elucidation: Identifying genes implicated by screens to infer gene function.
• Therapeutic target identification: Prioritizing candidate genes for potential therapeutic targeting based on screen results.
• Biological network exploration: Mapping implicated genes to pathways and interaction networks for systems-level interpretation.

Methodology:

Performs deconvolution of pooled screens from next-generation sequencing, applies statistical hit-calling modules, integrates metadata to mitigate off-target effects, controls for gene silencing efficiency and sequencing depth variance, and conducts downstream functional and network analyses.