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Advances in Bioinformatics
Volume 2015 (2015), Article ID 635437, 9 pages
Research Article

Developing of the Computer Method for Annotation of Bacterial Genes

1Bioinformatics Laboratory, Centre of Bioengineering, Russian Academy of Sciences, Prospekt 60-letiya Oktyabrya 7/1, Moscow 117312, Russia
2Cybernetics Department, National Research Nuclear University “MEPhI”, Kashirskoe shosse 31, Moscow 115409, Russia

Received 15 September 2015; Revised 16 November 2015; Accepted 18 November 2015

Academic Editor: Bhaskar Dasgupta

Copyright © 2015 Mikhail A. Golyshev and Eugene V. Korotkov. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Over the last years a great number of bacterial genomes were sequenced. Now one of the most important challenges of computational genomics is the functional annotation of nucleic acid sequences. In this study we presented the computational method and the annotation system for predicting biological functions using phylogenetic profiles. The phylogenetic profile of a gene was created by way of searching for similarities between the nucleotide sequence of the gene and 1204 reference genomes, with further estimation of the statistical significance of found similarities. The profiles of the genes with known functions were used for prediction of possible functions and functional groups for the new genes. We conducted the functional annotation for genes from 104 bacterial genomes and compared the functions predicted by our system with the already known functions. For the genes that have already been annotated, the known function matched the function we predicted in 63% of the time, and in 86% of the time the known function was found within the top five predicted functions. Besides, our system increased the share of annotated genes by 19%. The developed system may be used as an alternative or complementary system to the current annotation systems.