Comparative Genomic Analysis of Bacterial Data in BV-BRC: An Example Exploring Antimicrobial Resistance

Methods Mol Biol. 2024:2802:547-571. doi: 10.1007/978-1-0716-3838-5_18.

Abstract

As genomic and related data continue to expand, research biologists are often hampered by the computational hurdles required to analyze their data. The National Institute of Allergy and Infectious Diseases (NIAID) established the Bioinformatics Resource Centers (BRC) to assist researchers with their analysis of genome sequence and other omics-related data. Recently, the PAThosystems Resource Integration Center (PATRIC), the Influenza Research Database (IRD), and the Virus Pathogen Database and Analysis Resource (ViPR) BRCs merged to form the Bacterial and Viral Bioinformatics Resource Center (BV-BRC) at https://www.bv-brc.org/ . The combined BV-BRC leverages the functionality of the original resources for bacterial and viral research communities with a unified data model, enhanced web-based visualization and analysis tools, and bioinformatics services. Here we demonstrate how antimicrobial resistance data can be analyzed in the new resource.

Keywords: Antimicrobial resistance; BV-BRC; Bacteria; Genomics; IRD; PATRIC; ViPR; Virus.

MeSH terms

  • Anti-Bacterial Agents / pharmacology
  • Bacteria* / drug effects
  • Bacteria* / genetics
  • Computational Biology* / methods
  • Databases, Genetic*
  • Drug Resistance, Bacterial* / genetics
  • Genome, Bacterial
  • Genomics* / methods
  • Humans
  • National Institute of Allergy and Infectious Diseases (U.S.)
  • Software
  • United States
  • Web Browser

Substances

  • Anti-Bacterial Agents