Digital Microbe: a genome-informed data integration framework for team science on emerging model org...
Digital Microbe: a genome-informed data integration framework for team science on emerging model organisms
About this item
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Author / Creator
Veseli, Iva , DeMers, Michelle A. , Cooper, Zachary S. , Schechter, Matthew S. , Miller, Samuel , Weber, Laura , Smith, Christa B. , Rodriguez, Lidimarie T. , Schroer, William F. , McIlvin, Matthew R. , Lopez, Paloma Z. , Saito, Makoto , Dyhrman, Sonya , Eren, A. Murat , Moran, Mary Ann and Braakman, Rogier
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
The remarkable pace of genomic data generation is rapidly transforming our understanding of life at the micron scale. Yet this data stream also creates challenges for team science. A single microbe can have multiple versions of genome architecture, functional gene annotations, and gene identifiers; additionally, the lack of mechanisms for collating...
Alternative Titles
Full title
Digital Microbe: a genome-informed data integration framework for team science on emerging model organisms
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c2521d05ac3b40efa382ccc61cbce7a8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c2521d05ac3b40efa382ccc61cbce7a8
Other Identifiers
ISSN
2052-4463
E-ISSN
2052-4463
DOI
10.1038/s41597-024-03778-z
