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Tiffanie M Nelson on Muck Rack

Tiffanie M Nelson

As seen in: Color Research & Application, Nature
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Articles

Advancing FAIR data towards comparable, organized, predictive AI-ready data for community validation

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By Elisha Wood-Charlson, Lindsey Anderson Verified, Mikayla A. Borton, Stephen K. Burley, Neil Byers, Ishwar Chandramouliswaran, Sylvain V Costes, Emiley A Eloe-Fadrosh, Christopher Henry, Oliver Fiehn, Mahantesh Halappanavar, Marcin P. Joachimiak, Sean P. Jungbluth, Julia Koblitz, Gazi Mahmud, Lee Ann McCue, Thomas Metz, Nigel J. Mouncey, Christopher Mungall, Tiffanie M Nelson, Amanda M. Saravia-Butler, Susannah G. Tringe, Tim Van Den Bossche, Adam Arkin, Wolmar N. Åkerström, Paramvir S. Dehal, Mitchel Doktycz, Kjiersten Fagnan, Bonnie Hurwitz, Valerie Skye, V. Ratna Saripalli
| Nature Verified
Abstract The interrogation of data across biological and environmental systems has become increasingly complex. Fortunately, communities are adopting the FAIR (Findable, Accessible, Interoperable, Reusable) data principles for individual datasets, and continue to develop domain-specific, machine-actionable standards. However, integrating FAIR data for meta-analysis across data resources is still challenging.
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Authors' reply re: The vaginal metabolome and microbiota of cervical HPV‐positive and HPV‐negative women: a cross‐sectional analysis

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By Joanna‐Lynn C Borgogna, Michelle Shardell, Elisa K Santori, Tiffanie M Nelson
| Color Research & Application Verified
BJOG Exchange Joanna‐Lynn C Borgogna Corresponding Author E-mail address: joannalynnborgogna@montana.edu https://orcid.org/0000-0002-4488-4042 Department of Microbiology and Immunology, Montana State University, Bozeman, MT, USA Search for more papers by this author J Ravel Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA Search for more papers...
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