CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens.

Abstract:

:Pooled CRISPR screens allow researchers to interrogate genetic causes of complex phenotypes at the genome-wide scale and promise higher specificity and sensitivity compared to competing technologies. Unfortunately, two problems exist, particularly for CRISPRi/a screens: variability in guide efficiency and large rare off-target effects. We present a method, CRISPhieRmix, that resolves these issues by using a hierarchical mixture model with a broad-tailed null distribution. We show that CRISPhieRmix allows for more accurate and powerful inferences in large-scale pooled CRISPRi/a screens. We discuss key issues in the analysis and design of screens, particularly the number of guides needed for faithful full discovery.

journal_name

Genome Biol

journal_title

Genome biology

authors

Daley TP,Lin Z,Lin X,Liu Y,Wong WH,Qi LS

doi

10.1186/s13059-018-1538-6

subject

Has Abstract

pub_date

2018-10-08 00:00:00

pages

159

issue

1

eissn

1474-7596

issn

1474-760X

pii

10.1186/s13059-018-1538-6

journal_volume

19

pub_type

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