PATRIC: The VBI PathoSystems Resource Integration Center

Snyder, E. E.; Kampanya, N.; Lu, J.; Nordberg, E. K.; Karur, H. R.; Shukla, M.; Soneja, J.; Tian, Y.; Xue, T.; Yoo, H.; Zhang, F.; Dharmanolla, C.; Dongre, N. V.; Gillespie, J. J.; Hamelius, J.; Hance, M.; Huntington, K. I.; Jukneliene, D.; Koziski, J.; Mackasmiel, L.; Mane, S. P.; Nguyen, V.; Purkayastha, A.; Shallom, J.; Yu, G.; Guo, Y.; Gabbard, J.; Hix, D.; Azad, A. F.; Baker, S. C.; Boyle, S. M.; Khudyakov, Y.; Meng, X. J.; Rupprecht, C.; Vinje, J.; Crasta, O. R.; Czar, M. J.; Dickerman, A.; Eckart, J. D.; Kenyon, R.; Will, R.; Setubal, J. C.; Sobral, B. W. S.

This paper presents the first detailed description of the PATRIC website. Future development will advance on several fronts. Genome and proteome curation will continue, complemented by improved tools for query, analysis and visualization. For viruses, we will transition to the more widely accepted ICTV taxonomy (42) . The website's user interface is being enhanced to integrate organism-, tool/ task-and data-centric approaches to data access, allowing users more efficient and effective access to PATRIC resources. This will be followed up by prioritized curation targeted at potential drug and vaccine targets, virulence factors and genes with differential representation or polymorphisms associated with clinically significant phenotypes. Leveraging another NIAID-funded VBI project, the Administrative Resource for Biodefense Proteomics Research (http:// www.proteomicsresource.org/), we plan to integrate expression profiling and proteomics data from pathogen and host to better understand the pathosystem's biology and help the community identify targets for counter-measures. The integration of these disparate data types into a single, easy-touse system is a goal that we anticipate will enable pathogen researchers to make full use of available data to develop diagnostics, vaccines and therapeutics.