MOOMIN - Mathematical explOration of 'Omics data on a MetabolIc Network.

ABSTRACT:

Motivation

Analysis of differential expression of genes is often performed to understand how the metabolic activity of an organism is impacted by a perturbation. However, because the system of metabolic regulation is complex and all changes are not directly reflected in the expression levels, interpreting these data can be difficult.

Results

In this work, we present a new algorithm and computational tool that uses a genome-scale metabolic reconstruction to infer metabolic changes from differential expression data. Using the framework of constraint-based analysis, our method produces a qualitative hypothesis of a change in metabolic activity. In other words, each reaction of the network is inferred to have increased, decreased, or remained unchanged in flux. In contrast to si

SUBMITTER: Pusa T 

PROVIDER: S-EPMC9883724 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature