BV-BRC: a unified bacterial and viral bioinformatics resource with expanded functionality and AI integration.
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| Title: | BV-BRC: a unified bacterial and viral bioinformatics resource with expanded functionality and AI integration. |
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| Authors: | Shukla M; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Wattam AR; Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904, United States., Aleman A; Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904, United States., Bhattacharya R; Department of Informatics, J. Craig Venter Institute, La Jolla, CA 92037, United States., Bowers N; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Brettin T; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Computing Environment and Life Sciences, Argonne National Laboratory, Argonne, IL 60439, United States., Capria A; Department of Informatics, J. Craig Venter Institute, La Jolla, CA 92037, United States., Chia N; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Cucinell C; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Davis JJ; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Dempsey DM; Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, United States., Dickerman A; Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904, United States., Dietrich EM; Computing Environment and Life Sciences, Argonne National Laboratory, Argonne, IL 60439, United States., Gokdemir O; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States.; Department of Computer Science, University of Chicago, Chicago, IL 60637, United States., Hendrickson RC; Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, United States., Kenyon RW; Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904, United States., Klahn B; Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904, United States., Kuscuoglu M; Department of Informatics, J. Craig Venter Institute, La Jolla, CA 92037, United States., Lefkowitz EJ; Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL 35294, United States., Ma H; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Machi D; Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904, United States., Macken C; Department of Statistics, University of Auckland, Auckland 1010, New Zealand., Mann CM; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Mao C; Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904, United States., Nguyen M; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Olsen GJ; Department of Microbiology, University of Illinois, Urbana, IL 61801, United States., Olson RD; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Overbeek R; Fellowship for Interpretation of Genomes, Burr Ridge, IL 60527, United States., Owens SM; Biosciences Division, Argonne National Laboratory, Argonne, IL 60439, United States., Parrello B; Department of Computer Science, University of Chicago, Chicago, IL 60637, United States., Poretsky R; Department of Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, United States., Pusch GD; Fellowship for Interpretation of Genomes, Burr Ridge, IL 60527, United States., Ramanathan A; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Sheriff JT; Department of Biological Sciences, University of Illinois Chicago, Chicago, IL 60607, United States., Singh I; J. Craig Venter Institute, Rockville, MD 20850, United States., Stewart L; Department of Informatics, J. Craig Venter Institute, La Jolla, CA 92037, United States., VanOeffelen M; Fellowship for Interpretation of Genomes, Burr Ridge, IL 60527, United States., Vonstein V; Fellowship for Interpretation of Genomes, Burr Ridge, IL 60527, United States., Warren AS; Biocomplexity Institute, University of Virginia, Charlottesville, VA 22904, United States., Wilke A; Consortium for Advanced Science and Engineering, University of Chicago, Chicago, IL 60637, United States.; Division of Data Science and Learning, Argonne National Laboratory, Argonne, IL 60439, United States., Zmasek CM; Department of Informatics, J. Craig Venter Institute, La Jolla, CA 92037, United States., Zuniga A; Department of Informatics, J. Craig Venter Institute, La Jolla, CA 92037, United States., Stevens RL; Computing Environment and Life Sciences, Argonne National Laboratory, Argonne, IL 60439, United States.; Department of Computer Science, University of Chicago, Chicago, IL 60637, United States. |
| Source: | Nucleic acids research [Nucleic Acids Res] 2026 Jan 06; Vol. 54 (D1), pp. D715-D723. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN: 1362-4962 (Electronic) Linking ISSN: 03051048 NLM ISO Abbreviation: Nucleic Acids Res Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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