PATRIC: the Comprehensive Bacterial Bioinformatics Resource with a Focus on Human Pathogenic Species

Joseph J. Gillespie(University of Maryland, Baltimore), Alice R. Wattam(Virginia Tech), Stephen Cammer(Virginia Tech), Joseph L. Gabbard(Virginia Tech), Maulik Shukla(Virginia Tech), Oral Dalay(Virginia Tech), Timothy Driscoll(Virginia Tech), Deborah Hix(Virginia Tech), Shrinivasrao P. Mane(Virginia Tech), Chunhong Mao(Virginia Tech), Eric K. Nordberg(Virginia Tech), Mark C. Scott(Virginia Tech), Julie Schulman(Virginia Tech), Eric E. Snyder(SRA International (United States)), Daniel E. Sullivan(Virginia Tech), Chunxia Wang(Novozymes (United States)), Andrew Warren(Virginia Tech), Kelly P. Williams(Sandia National Laboratories California), Tian Xue(Virginia Tech), Hyun Seung Yoo(Virginia Tech), Chengdong Zhang(Virginia Tech), Yan Zhang(Virginia Tech), Rebecca Will(Virginia Tech), Ronald W. Kenyon(Virginia Tech), Bruno Sobral(Virginia Tech)
Infection and Immunity
September 7, 2011
Cited by 344Open Access
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Abstract

Funded by the National Institute of Allergy and Infectious Diseases, the Pathosystems Resource Integration Center (PATRIC) is a genomics-centric relational database and bioinformatics resource designed to assist scientists in infectious-disease research. Specifically, PATRIC provides scientists with (i) a comprehensive bacterial genomics database, (ii) a plethora of associated data relevant to genomic analysis, and (iii) an extensive suite of computational tools and platforms for bioinformatics analysis. While the primary aim of PATRIC is to advance the knowledge underlying the biology of human pathogens, all publicly available genome-scale data for bacteria are compiled and continually updated, thereby enabling comparative analyses to reveal the basis for differences between infectious free-living and commensal species. Herein we summarize the major features available at PATRIC, dividing the resources into two major categories: (i) organisms, genomes, and comparative genomics and (ii) recurrent integration of community-derived associated data. Additionally, we present two experimental designs typical of bacterial genomics research and report on the execution of both projects using only PATRIC data and tools. These applications encompass a broad range of the data and analysis tools available, illustrating practical uses of PATRIC for the biologist. Finally, a summary of PATRIC's outreach activities, collaborative endeavors, and future research directions is provided.


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