From Protein Variations to Biological Processes and Pathways with NET-GE

  • Samuele Bovo University of Bologna http://orcid.org/0000-0002-5712-8211
  • Pietro Di Lena University of Bologna
  • Pier Luigi Martelli University of Bologna
  • Piero Fariselli University of Padova
  • Rita Casadio University of Bologna

Abstract

Gene enrichment analysis is a common technique for highlighting molecular pathways and biological processes of a phenotype. Such technique has recently evolved exploiting the information contained in biological networks. We developed NET-GE, a web server for network-based gene enrichment analyses. NET-GE defines functional associations between a list of genes/proteins and biological processes or pathways by identifying function-specific modules in a molecular interaction network. The peculiarity of NET-GE is the possibility to enrich terms not detectable by standard enrichment procedure. Here, we highlight with two specific applications the performances of NET-GE by computing which functional phenotypes can be associated with two different sets of genes related to Attention Deficit Hyperactivity Disorder and to an Obsessive-compulsive disorder, respectively.

Published
2017-07-17
How to Cite
BOVO, Samuele et al. From Protein Variations to Biological Processes and Pathways with NET-GE. Genomics and Computational Biology, [S.l.], v. 3, n. 3, p. e45, july 2017. ISSN 2365-7154. Available at: <https://genomicscomputbiol.org/ojs3/GCB/article/view/8>. Date accessed: 12 apr. 2021. doi: https://doi.org/10.18547/gcb.2017.vol3.iss3.e45.
Section
Research Articles