MasterPATH: network analysis of functional genomics screening data.

ABSTRACT:

Background

Functional genomics employs several experimental approaches to investigate gene functions. High-throughput techniques, such as loss-of-function screening and transcriptome profiling, allow to identify lists of genes potentially involved in biological processes of interest (so called hit list). Several computational methods exist to analyze and interpret such lists, the most widespread of which aim either at investigating of significantly enriched biological processes, or at extracting significantly represented subnetworks.

Results

Here we propose a novel network analysis method and corresponding computational software that employs the shortest path approach and centrality measure to discover members of molecular pathways leading to the studied phenotype, based on

SUBMITTER: Rubanova N 

PROVIDER: S-EPMC7491077 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature