Accurate Prediction of Orthologous Gene Groups in Microbes

Authors:
Hongwei Wu;Fenglou Mao;Victor Olman;Ying Xu
Affiliations:
University of Georgia and Oak Ridge National Laboratory;Oak Ridge National Laboratory;Oak Ridge National Laboratory;University of Georgia and Oak Ridge National Laboratory
Venue:
CSB '05 Proceedings of the 2005 IEEE Computational Systems Bioinformatics Conference
Year:
2005

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Abstract

We present a new computational method for the prediction of orthologous gene groups for microbial genomes based on the prediction of co-occurrences of homologous genes. The method is inspired by the observation that homologous genes are highly likely to be orthologous if their neighboring genes are also homologous. Based on co-occurrences of homologous genes, we have grouped the (predicted) operons of 77 selected sequenced microbial genomes so that operons of the same group are highly likely to be functionally similar or related. We then cluster the homologous genes in the same operon group so that genes of the same cluster are highly likely to be similar in terms of their sequences and functions, i.e., they are predicted to be orthologous genes. By comparing our predicted orthologous gene groups with the COG assignments and NCBI annotations, we conclude that our method is promising to provide more accurate and specific predictions than the existing methods.