A study on multi-omic oscillations in Escherichia coli metabolic networks.

ABSTRACT:

Background

Two important challenges in the analysis of molecular biology information are data (multi-omic information) integration and the detection of patterns across large scale molecular networks and sequences. They are are actually coupled beause the integration of omic information may provide better means to detect multi-omic patterns that could reveal multi-scale or emerging properties at the phenotype levels.

Results

Here we address the problem of integrating various types of molecular information (a large collection of gene expression and sequence data, codon usage and protein abundances) to analyse the E.coli metabolic response to treatments at the whole network level. Our algorithm, MORA (Multi-omic relations adjacency) is able to detect patterns which may represen

SUBMITTER: Bardozzo F 

PROVIDER: S-EPMC6069781 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature