Novel function discovery with GeneMANIA: A new integrated resource for gene function prediction in Escherichia coli
Motivation: The model bacterium Escherichia coli is among the best studied prokaryotes, yet nearly half of its proteins are still of unknown biological function. This is despite a wealth of available large-scale physical and genetic interaction data. To address this, we extended the GeneMANIA function prediction web application developed for model eukaryotes to support E.coli. Results: We integrated 48 distinct E.coli functional interaction datasets and used the GeneMANIA algorithm to produce thousands of novel functional predictions and prioritize genes for further functional assays. Our analysis achieved cross-validation performance comparable to that reported for eukaryotic model organisms, and revealed new functions for previously uncharacterized genes in specific bioprocesses, including components required for cell adhesion, iron-sulphur complex assembly and ribosome biogenesis. The GeneMANIA approach for network-based function prediction provides an innovative new tool for probing mechanisms underlying bacterial bioprocesses.
Vlasblom, J. (James), Zuberi, K. (Khalid), Rodriguez, H. (Harold), Arnold, R. (Roland), Gagarinova, A. (Alla), Deineko, V. (Viktor), … Babu, M. (Mohan). (2015). Novel function discovery with GeneMANIA: A new integrated resource for gene function prediction in Escherichia coli. Bioinformatics, 31(3), 306–310. doi:10.1093/bioinformatics/btu671