PATRIC, the bacterial bioinformatics database and analysis resource
Author(s) -
Alice R. Wattam,
David Abraham,
Oral Dalay,
Terry Disz,
Timothy Driscoll,
Joseph L. Gabbard,
Joseph J. Gillespie,
Roger Gough,
Deborah Hix,
Ronald W. Kenyon,
Dustin Machi,
Chunhong Mao,
Eric K. Nordberg,
Robert Olson,
Ross Overbeek,
Gordon D. Pusch,
Maulik Shukla,
Julie Schulman,
Rick Stevens,
Daniel E. Sullivan,
Veronika Vonstein,
Andrew Warren,
Rebecca Will,
Meredith Wilson,
Hyun Seung Yoo,
Chengdong Zhang,
Yan Zhang,
Bruno Sobral
Publication year - 2013
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkt1099
Subject(s) - biology , metadata , genome , computational biology , genomics , resource (disambiguation) , suite , data type , computer science , bioinformatics , gene , world wide web , genetics , history , computer network , archaeology , programming language
The Pathosystems Resource Integration Center (PATRIC) is the all-bacterial Bioinformatics Resource Center (BRC) (http://www.patricbrc.org). A joint effort by two of the original National Institute of Allergy and Infectious Diseases-funded BRCs, PATRIC provides researchers with an online resource that stores and integrates a variety of data types [e.g. genomics, transcriptomics, protein-protein interactions (PPIs), three-dimensional protein structures and sequence typing data] and associated metadata. Datatypes are summarized for individual genomes and across taxonomic levels. All genomes in PATRIC, currently more than 10,000, are consistently annotated using RAST, the Rapid Annotations using Subsystems Technology. Summaries of different data types are also provided for individual genes, where comparisons of different annotations are available, and also include available transcriptomic data. PATRIC provides a variety of ways for researchers to find data of interest and a private workspace where they can store both genomic and gene associations, and their own private data. Both private and public data can be analyzed together using a suite of tools to perform comparative genomic or transcriptomic analysis. PATRIC also includes integrated information related to disease and PPIs. All the data and integrated analysis and visualization tools are freely available. This manuscript describes updates to the PATRIC since its initial report in the 2007 NAR Database Issue.
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