Article

Identifying Lethal Dependencies with HUGE Predictive Power from Large-Scale Functional Genomic Screens

2021-11-01

Abstract excerpt

Recent functional genomic screens -such as CRISPR-Cas9 or RNAi screening-have fostered a new wave of targeted treatments based on the concept of synthetic lethality. These approaches identified LEthal Dependencies (LEDs) by estimating the effect of genetic events on cell viability. The multiple-hypothesis problem related to the large number of gene knockouts limits the statistical power of these studies. Here, we...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: afa8b82d-09ad-5ffe-b2c6-e529f0fe34b0
DOI: 10.1101/2021.10.29.466419

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Identifying Lethal Dependencies with HUGE Predictive Power from Large-Scale Functional Genomic ScreensDOI 10.1101/2021.10.29.466419Read

Ranking of non-coding pathogenic variants and putative essential regions of the human genome.Semantic proximity Read

A comprehensive clinically informed map of dependencies in cancer cells and framework for target prioritization.Semantic proximity Read

CRISPR-enhanced assessment of variants of unknown significance nominates oncology therapeutic targets and drug repositioning opportunitiesSemantic proximity Read

GRETTA: an R package for mapping in silico genetic interaction and essentiality networks.Semantic proximity Read

Coessentiality and cofunctionality: a network approach to learning genetic vulnerabilities from cancer cell line fitness screensSemantic proximity Read

Improved analysis of CRISPR fitness screens and reduced off-target effects with the BAGEL2 gene essentiality classifierSemantic proximity Read

CancerGD: A Resource for Identifying and Interpreting Genetic Dependencies in Cancer.Semantic proximity Read

Beyond synthetic lethality: charting the landscape of clinically relevant genetic interactions in cancerSemantic proximity Read

Genome-scale prediction of context-specific synthetic lethality beyond protein interaction networksSemantic proximity Read

SLIDE-VIP: a comprehensive, cell line- and patient-based framework for synthetic lethality prediction in DNA damage repair, chromatin remodeling and cell cycleSemantic proximity Read

ButterflyVI: enabling high-throughput variant interpretation and biomarker discovery with functional genomicsSemantic proximity Read

ELISL: early-late integrated synthetic lethality prediction in cancer.Semantic proximity Read