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  1. The BV-BRC combines the data and tools from the Legacy BRC resources: PATRIC, the bacterial BRC, and IRD and ViPR, the viral BRCs. If you are transitioning from PATRIC or IRD/ViPR, please refer to the Quick Start Guide to learn how to get started with BV-BRC.

  2. PATRIC integrates and annotates all genomic and associated data available from most of the major bacterial lineages, allowing comparative analysis of the NIAID priority infectious agents with closely related free-living, symbiotic, and commensal species (see “Annotation FAQs” at http://enews.patricbrc.org/faqs/, which links to all FAQs ...

  3. 1 de ene. de 2014 · PATRIC integrates transcriptomic and genomic data, allowing researchers to explore gene expression data across species, within a specific genome, or for a gene of interest. As of September 2013, 704 transcriptomic experiments across 27 bacterial genera have been incorporated with manually curated data and metadata.

  4. 31 de oct. de 2019 · PATRIC supports bioinformatic analyses of all bacteria with a special emphasis on pathogens, offering a rich comparative analysis environment that provides users with access to over 250 000 uniformly annotated and publicly available genomes with curated metadata.

  5. BV-BRC has been developed by starting with the legacy PATRIC data, tools, services, website, and infrastructure, and augmenting it with integrated viral data, tools, and features from the legacy IRD (influenza) and ViPR (other pathgenic viruses) BRCs.

  6. 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.

  7. 31 de jul. de 2017 · PATRIC provides a summary of data at the gene level, where the physical characteristics of a gene, its functional role(s), available experimental data and associated publications are provided. This view also includes information on homology to genes known to be important in AMR.