James Vlasblom1, Khalid Zuberi1, Harold Rodriguez1, Roland Arnold1, Alla Gagarinova2, Viktor Deineko1, Ashwani Kumar2, Elisa Leung1, Kamran Rizzolo1, Bahram Samanfar1, Luke Chang1, Sadhna Phanse1, Ashkan Golshani1, Jack F Greenblatt2, Walid A Houry1, Andrew Emili2, Quaid Morris2, Gary Bader3, Mohan Babu1. 1. Department of Biochemistry, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Banting and Best Department of Medical Research, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada, Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Computer Science, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Department of Biochemistry, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Biology, Carleton University, Ottawa, Ontario K1S 5B6, Canada and Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada. 2. Department of Biochemistry, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Banting and Best Department of Medical Research, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada, Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Computer Science, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Department of Biochemistry, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Biology, Carleton University, Ottawa, Ontario K1S 5B6, Canada and Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada Department of Biochemistry, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Banting and Best Department of Medical Research, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada, Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Computer Science, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Department of Biochemistry, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Biology, Carleton University, Ottawa, Ontario K1S 5B6, Canada and Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada. 3. Department of Biochemistry, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Banting and Best Department of Medical Research, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada, Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Computer Science, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Department of Biochemistry, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Biology, Carleton University, Ottawa, Ontario K1S 5B6, Canada and Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada Department of Biochemistry, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Banting and Best Department of Medical Research, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada, Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Computer Science, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Department of Biochemistry, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Biology, Carleton University, Ottawa, Ontario K1S 5B6, Canada and Department of Computer Science, University of Toronto, Toronto, Ontario M5S 3G4, Canada Department of Biochemistry, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Banting and Best Department of Medical Research, Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario M5S 3E1, Canada, Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Computer Science, University of Regina, Regina, Saskatchewan S4S0A2, Canada, Department of Biochemistry, University of Toronto, Toronto, Ontario M5S 1A8, Canada, Department of Biology, Carleton University, Ottawa, Ontario K1S 5B6, Canada and Department of Computer Science, Univ
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: gary.bader@utoronto.ca; mohan.babu@uregina.ca SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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: gary.bader@utoronto.ca; mohan.babu@uregina.ca SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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