Discovering functional sequences with RELICS, an analysis method for CRISPR screens.

ABSTRACT: CRISPR screens are a powerful technology for the identification of genome sequences that affect cellular phenotypes such as gene expression, survival, and proliferation. By targeting non-coding sequences for perturbation, CRISPR screens have the potential to systematically discover novel functional sequences, however, a lack of purpose-built analysis tools limits the effectiveness of this approach. Here we describe RELICS, a Bayesian hierarchical model for the discovery of functional sequences from CRISPR screens. RELICS specifically addresses many of the challenges of non-coding CRISPR screens such as the unknown locations of functional sequences, overdispersion in the observed single guide RNA counts, and the need to combine information across multiple pools in an experiment. RELICS outp

SUBMITTER: Fiaux PC 

PROVIDER: S-EPMC7521704 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature