Current State of and Future Opportunities for Prediction in Microbiome Research: Report from the Mid-Atlantic Microbiome Meet-up in Baltimore on 9 January 2019

Current State of and Future Opportunities for Prediction in Microbiome Research: Report from the Mid-Atlantic Microbiome Meet-up in Baltimore on 9 January 2019

Accurate predictions across multiple fields of microbiome research have far-reaching benefits to society, but there are few widely accepted quantitative tools to make accurate predictions about microbial communities and their functions. More discussion is needed about the current state of microbiome...

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Bibliographic Details
Main Authors: Eric Sakowski, Gherman Uritskiy, Rachel Cooper, Maya Gomes, Michael R. McLaren, Jacquelyn S. Meisel, Rebecca L. Mickol, C. David Mintz, Emmanuel F. Mongodin, Mihai Pop, Mohammad Arifur Rahman, Alvaro Sanchez, Winston Timp, Jeseth Delgado Vela, Carly Muletz Wolz, Joseph P. Zackular, Jessica Chopyk, Seth Commichaux, Meghan Davis, Douglas Dluzen, Sukirth M. Ganesan, Muyideen Haruna, Dan Nasko, Mary J. Regan, Saul Sarria, Nidhi Shah, Brook Stacy, Dylan Taylor, Jocelyne DiRuggiero, Sarah P. Preheim
Format: Article
Language:English
Published: American Society for Microbiology 2019-10-01
Series:mSystems
Subjects:
microbiome
bioinformatics
metagenomics
prediction
machine learning
conceptual models
quantitative models
Online Access:https://doi.org/10.1128/mSystems.00392-19

Internet

https://doi.org/10.1128/mSystems.00392-19

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