Functional annotation for your gene list---pathway enrichment analysis

Pathway data are important for understanding the relationship between genes, proteins and many other molecules in living organisms. Many well-established databases are dedicated to collecting pathway data for public access. However, the effectiveness of these databases is seriously hindered by issues such as incompatible data formats, inconsistent molecular representations, inconsistent molecular relationship representations, inconsistent referrals to pathway names, and incomprehensive data from different databases. Dr. Zhou overcome these issues through extraction, normalization and integration of pathway data from several major public databases (KEGG, WikiPathways, BioCyc, etc). Dr. Zhou build a database called IntPath that not only hosts the integrated pathway gene relationship data for public access but also maintains the necessary updates in the long run.

Dr. Zhou have overcome in IntPath the issues of compatibility, consistency, and comprehensiveness that often hamper effective use of pathway databases. We have included four organisms in the current release of IntPath. Our methodology and programs described in this work can be easily applied to other organisms; and we will include more model organisms and important pathogens in future releases of IntPath. IntPath maintains regular updates and is freely available at http://compbio.ddns.comp.nus.edu.sg:8080/IntPath