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Inferring functional modules of protein families with probabilistic topic models |
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| Authors: | Sebastian GA Konietzny Laura Dietz Alice C McHardy |
| Affiliation: | 1.Max Planck Research Group for Computational Genomics and Epidemiology,Max Planck Institute for Informatics,Saarbrücken,Germany;2.Department for Algorithmic Bioinformatics,Heinrich Heine University Düsseldorf,Düsseldorf,Germany;3.Department of Databases and Information Systems,Max Planck Institute for Informatics,Saarbrücken,Germany |
| Abstract: | BackgroundGenome and metagenome studies have identified thousands of protein families whose functions are poorly understood and for which techniques for functional characterization provide only partial information. For such proteins, the genome context can give further information about their functional context. |
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