Mergeomics: multidimensional data integration to identify pathogenic perturbations to biological systems.

ABSTRACT:

Background

Complex diseases are characterized by multiple subtle perturbations to biological processes. New omics platforms can detect these perturbations, but translating the diverse molecular and statistical information into testable mechanistic hypotheses is challenging. Therefore, we set out to create a public tool that integrates these data across multiple datasets, platforms, study designs and species in order to detect the most promising targets for further mechanistic studies.

Results

We developed Mergeomics, a computational pipeline consisting of independent modules that 1) leverage multi-omics association data to identify biological processes that are perturbed in disease, and 2) overlay the disease-associated processes onto molecular interaction networks to pinpoi

SUBMITTER: Shu L 

PROVIDER: S-EPMC5097440 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature