PATRIC

PATRIC[1] (Pathosystems Resource Integration Center) is a bacterial bioinformatics website from the Bioinformatics Resource Center. It is an information system that integrates databases with various types of data about bacterial pathogens (transcriptomic, proteomic, structural, and biochemical) and with analysis tools. It is designed to support the biomedical research community's work on bacterial infectious diseases via these integrations of various pieces of pathogen information.

For other uses, see Patric (disambiguation).

Description

PATRIC is a project of Virginia Tech's Cyberinfrastructure Division and is funded by the National Institutes of Allergy and Infectious Diseases (NIAID), a component of the National Institutes of Health (NIH). PATRIC centralizes available bacterial phylogenomic data, proteomic data, and other various experiment pieces of data linked to specific pathogens from numerous sources.[2] The PATRIC platform provides an interface for comprehensive comparative genomics.

Bacterial Organisms Covered in the PATRIC Database

About Cyberinfrastructure Division and VBI

The CyberInfrastructure Division at VBI develops methods, infrastructure, and resources to help enable scientific discoveries in infectious disease research. The group applies the principles of cyberinfrastructure to integrate data, computational infrastructure, and people. CyberInfrastructure Division has developed public resources for curated, diverse molecular and literature data from various infectious disease systems, and implemented the processes, systems, and databases required to support them. It also conducts research by applying its methods and data to make discoveries of its own.

The Virginia Bioinformatics Institute (VBI) at Virginia Tech has a research platform centered on understanding the "disease triangle" of host-pathogen-environment interactions in plants, humans, and other animals.

See also

References
  1. Gillespie JJ, Wattam AR, Cammer SA, et al. (November 2011). "PATRIC: the comprehensive bacterial bioinformatics resource with a focus on human pathogenic species". Infection and Immunity. 79 (11): 4286–98. doi:10.1128/IAI.00207-11. PMC 3257917. PMID 21896772.
  2. Sobral B, Chunhong Mao, Maulik Shukla, Dan Sullivan, Chengdong Zhang (3 January 2013). "Informatics-Driven Infectious Disease Research". In Fred A, Gamboa H, Filipe J (eds.). Biomedical Engineering Systems and Technologies. Springer Berlin. pp. 3–11. ISBN 9783642297526. Retrieved 5 March 2022.
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