Integrated enrichment analysis and pathway-centered visualization of metabolomics, proteomics, transcriptomics, and genomics data by using the InCroMAP software

J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Sep 1;966:77-82. doi: 10.1016/j.jchromb.2014.04.030. Epub 2014 Apr 25.

Abstract

In systems biology, the combination of multiple types of omics data, such as metabolomics, proteomics, transcriptomics, and genomics, yields more information on a biological process than the analysis of a single type of data. Thus, data from different omics platforms is usually combined in one experimental setup to obtain insight into a biological process or a disease state. Particularly high accuracy metabolomics data from modern mass spectrometry instruments is currently more and more integrated into biological studies. Reflecting this trend, we extended InCroMAP, a data integration, analysis and visualization tool for genomics, transcriptomics, and proteomics data. Now, the tool is able to perform an integrated enrichment analysis and pathway-based visualization of multi-omics data and thus, it is suitable for the evaluation of comprehensive systems biology studies.

Keywords: Enrichment analysis; Genomics; Metabolomics; Pathway visualization; Proteomics; Transcriptomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computational Biology / methods*
  • Database Management Systems*
  • Databases, Genetic*
  • Microarray Analysis
  • Software*
  • User-Computer Interface