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Comparative Genomic Analysis of Bacterial Data in BV-BRC: An Example Exploring Antimicrobial Resistance.
Wattam, Alice R; Bowers, Nicole; Brettin, Thomas; Conrad, Neal; Cucinell, Clark; Davis, James J; Dickerman, Allan W; Dietrich, Emily M; Kenyon, Ronald W; Machi, Dustin; Mao, Chunhong; Nguyen, Marcus; Olson, Robert D; Overbeek, Ross; Parrello, Bruce; Pusch, Gordon D; Shukla, Maulik; Stevens, Rick L; Vonstein, Veronika; Warren, Andrew S.
Affiliation
  • Wattam AR; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA. wattam@virginia.edu.
  • Bowers N; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA.
  • Brettin T; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL, USA.
  • Conrad N; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA.
  • Cucinell C; Computing, Environment and Life Sciences, Argonne National Laboratory, Argonne, IL, USA.
  • Davis JJ; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA.
  • Dickerman AW; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL, USA.
  • Dietrich EM; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
  • Kenyon RW; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA.
  • Machi D; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL, USA.
  • Mao C; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
  • Nguyen M; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA.
  • Olson RD; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL, USA.
  • Overbeek R; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
  • Parrello B; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
  • Pusch GD; Biocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
  • Shukla M; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA.
  • Stevens RL; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL, USA.
  • Vonstein V; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL, USA.
  • Warren AS; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL, USA.
Methods Mol Biol ; 2802: 547-571, 2024.
Article de En | MEDLINE | ID: mdl-38819571
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.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Bactéries / Biologie informatique / Génomique / Résistance bactérienne aux médicaments / Bases de données génétiques Limites: Humans Pays/Région comme sujet: America do norte Langue: En Journal: Methods Mol Biol Sujet du journal: BIOLOGIA MOLECULAR Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Bactéries / Biologie informatique / Génomique / Résistance bactérienne aux médicaments / Bases de données génétiques Limites: Humans Pays/Région comme sujet: America do norte Langue: En Journal: Methods Mol Biol Sujet du journal: BIOLOGIA MOLECULAR Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique