Article
Prediction of microbial phenotypes based on comparative genomics.
BMC bioinformatics - 1 Jan 2015
Feldbauer Roman, Schulz Frederik, Horn Matthias, Rattei Thomas
Abstract excerpt
The accessibility of almost complete genome sequences of uncultivable microbial species from metagenomes necessitates computational methods predicting microbial phenotypes solely based on genomic data. Here we investigate how comparative genomics can be utilized for the prediction of microbial phenotypes. The PICA framework facilitates application and comparison of different machine learning techniques for...
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