Title

Integrating information from existing databases for enhanced function annotation of genes, genomes and networks

Authors

Lokesh Pati Tripathi*

National Centre for Biological Sciences, TIFR, GKVK Campus, Bangalore-560065, India

91 80 23666251

Email

lokesh@ncbs.res.in; * Corresponding author

Article Type

Views & Chellenges

Date

received November 19, 2007; accepted November 14, 2007; published online December 11, 2007

Uncovering functional associations for genes and gene products remains one of the most significant challenges in biology. The classical approaches, such as homology detection, are mainly suited for predicting approximate molecular function of a protein and should be used in context with other methods. Several studies have emerged that employ knowledge-based procedures to extract functional data for genes from a variety of biological sources. However, data derived from a single biological resource often provides only a limited perspective on their functional associations largely due to systematic bias in the underlying data. The post-genomic era has witnessed the emergence of knowledge-based studies that aim to decipher functional associations by combining several biological evidence types. These are expected to provide better insights into the functional aspects of diverse genes, genomes and networks.

homology; post-genomic; functional associations; knowledge-based; evidence types

Citation

Tripathi, Bioinformation 2(4): 132-134 (2007)

Edited by

P. Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.