FIREWORKS: a bottom-up approach to integrative coessentiality network analysis.

ABSTRACT: Genetic coessentiality analysis, a computational approach which identifies genes sharing a common effect on cell fitness across large-scale screening datasets, has emerged as a powerful tool to identify functional relationships between human genes. However, widespread implementation of coessentiality to study individual genes and pathways is limited by systematic biases in existing coessentiality approaches and accessibility barriers for investigators without computational expertise. We created FIREWORKS, a method and interactive tool for the construction and statistical analysis of coessentiality networks centered around gene(s) provided by the user. FIREWORKS incorporates a novel bias reduction approach to reduce false discoveries, enables restriction of coessentiality analyses to custom

SUBMITTER: Amici DR 

PROVIDER: S-EPMC7756899 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature