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PATRIC in Published Research

Featured Article: High-Throughput Sequencing, a Versatile Weapon to Support Genome-Based Diagnosis in Infectious Diseases: Applications to Clinical Bacteriology.

PATRIC Publications

Includes doi, PMID, and PMCID links.

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The PATRIC team is committed to supporting and growing the bacterial research communities. To help us identify your specific needs, please take a moment to fill out our short PATRIC survey. Your participation is voluntary, and greatly appreciated.

PATRIC July 2014 Release Features New Circular Genome Viewer, Group Explorer, Integration of Protein-Protein Interaction Data, and New Genomic and Transcriptomic Data

Over 6,000 new genomes, including over 1,500 Mycobacterium tuberculosis genomes from TB-ARC.

Standardized metadata for human pathogen/vector genomic sequences

Click to view Abstract and link to full text.

PATRIC Team Delivers Workshop at the Computation Institute

A full-day PATRIC training session hosted by the Computation Institute, a joint initiative between The University of Chicago and Argonne National Laboratory to advance science through innovative computational approaches.

PATRIC May 2014 Release: New Easily Accessible and Manually Curated Specialty Genes Data

Including Antibiotic Resistance Genes, Drug Targets, Human Homologs, and Virulence Factors.

Dr. Bruno Sobral Gives Presentation at the Universidade Federal de Minas Gerais, Brazil

Includes hands-on PATRIC demonstration to the faculty and Students of the Bioinformatics Graduate Program.

PATRIC Team Delivers Workshop at The University of Montpellier

Highlights include PATRIC’s various comparative genomics tools, annotation pipelines, and transcriptomics analyses for bacterial pathogens.

PATRIC Team Provides Bioinformatics Training for Nestle Institue of Health Sciences

Dr. Rebecca Wattam and Maulik Shukla conduct hands-on comparative genomics workshop.

PATRIC April 2014 Release: New Data Summary and Special Collections Pages

Allow for quick access to various data types and specific data collections.

Enabling comparative modeling of closely related genomes: example genus Brucella

Click to view Abstract and full text.