Abstract
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.
CONTACT: [email protected]; [email protected]
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
| Original language | English |
|---|---|
| Pages (from-to) | 306-310 |
| Number of pages | 5 |
| Journal | Bioinformatics |
| Volume | 31 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 13 Oct 2014 |
Keywords
- Algorithms
- Escherichia coli
- Escherichia coli Proteins
- Gene Regulatory Networks
- Phenotype
- Software
- Journal Article
- Research Support, N.I.H., Extramural
- Research Support, Non-U.S. Gov't