CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data.

ABSTRACT: A significant challenge in the analysis of omics data is extracting actionable biological knowledge. Metabolomics is no exception. The general problem of relating changes in levels of individual metabolites to specific biological processes is compounded by the large number of unknown metabolites present in untargeted liquid chromatography-mass spectrometry (LC-MS) studies. Further, secondary metabolism and lipid metabolism are poorly represented in existing pathway databases. To overcome these limitations, our group has developed several tools for data-driven network construction and analysis. These include CorrelationCalculator and Filigree. Both tools allow users to build partial correlation-based networks from experimental metabolomics data when the number of metabolites exceeds the num

SUBMITTER: Iyer G 

PROVIDER: S-EPMC11785453 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature