PATRIC:Bacterial Bioinformatics Resource Center,


What is PATRIC?


PATRIC is the Bacterial Bioinformatics Resource Center, an information system designed to support the biomedical research community’s work on bacterial infectious diseases via integration of vital pathogen information with rich data and analysis tools.  PATRIC sharpens and hones the scope of available bacterial phylogenomic data from numerous sources specifically for the bacterial research community, in order to save biologists time and effort when conducting comparative analyses.  The freely available PATRIC platform provides an interface for biologists to discover data and information and conduct comprehensive comparative genomics and other analyses in a one-stop shop.  PATRIC is a NIH-NIAID -funded project of Virginia Tech’s Cyberinfrastructure Division.



What Can I Do @ PATRIC?

Transcriptomics Data at PATRIC


PATRIC has three primary types of experiment data, Taxonomy or Genome level, Gene or CoDing Sequence level, and Your Own Uploaded Experiment data.  Learn about these types of experiment data, where you can find them, and some of the potential analyses you can do.





Protein Family Sorter

  • Compares protein families across closely related or diverse groups of genomes, visualizes them using interactive heatmaps, and generates multiple sequence alignments and phylogenetic trees for individual families. The heatmap view is an interactive visualization tool that provides an overview of the distribution of proteins across a selected set of genomes.

Comparative Pathway Tool

  • Supports comparison of consistently annotated metabolic pathways across closely related or diverse groups of genomes and visualizes them using interactive KEGG maps and heatmaps. The heatmap view is an interactive visualization tool that provides an overview of the distribution of genomes across the set of EC numbers within a selected pathway

Genome Metadata

  • Supports searching for and locating genomes of interest based on various combinations of 61 different metadata fields. For instance, all genomes that have been isolated from humans, genomes related by phylogeny, or genomes related by lifestyle.

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