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.

dc.contributor.author

Sakowski, Eric

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Uritskiy, Gherman

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Cooper, Rachel

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Gomes, Maya

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McLaren, Michael R

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Meisel, Jacquelyn S

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Mickol, Rebecca L

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Mintz, C David

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Mongodin, Emmanuel F

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Pop, Mihai

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Rahman, Mohammad Arifur

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Sanchez, Alvaro

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Timp, Winston

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Vela, Jeseth Delgado

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Wolz, Carly Muletz

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Zackular, Joseph P

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Chopyk, Jessica

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Commichaux, Seth

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Davis, Meghan

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Dluzen, Douglas

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Ganesan, Sukirth M

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Haruna, Muyideen

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Nasko, Dan

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Regan, Mary J

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Sarria, Saul

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Shah, Nidhi

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Stacy, Brook

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Taylor, Dylan

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DiRuggiero, Jocelyne

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Preheim, Sarah P

dc.contributor.editor

Gilbert, Jack A

dc.date.accessioned

2023-08-31T19:44:17Z

dc.date.available

2023-08-31T19:44:17Z

dc.date.issued

2019-10

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2023-08-31T19:44:16Z

dc.description.abstract

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 analysis and the tools required to overcome the hurdles preventing development and implementation of predictive analyses. We summarize the ideas generated by participants of the Mid-Atlantic Microbiome Meet-up in January 2019. While it was clear from the presentations that most fields have advanced beyond simple associative and descriptive analyses, most fields lack essential elements needed for the development and application of accurate microbiome predictions. Participants stressed the need for standardization, reproducibility, and accessibility of quantitative tools as key to advancing predictions in microbiome analysis. We highlight hurdles that participants identified and propose directions for future efforts that will advance the use of prediction in microbiome research.

dc.identifier

4/5/e00392-19

dc.identifier.issn

2379-5077

dc.identifier.issn

2379-5077

dc.identifier.uri

https://hdl.handle.net/10161/28879

dc.language

eng

dc.publisher

American Society for Microbiology

dc.relation.ispartof

mSystems

dc.relation.isversionof

10.1128/msystems.00392-19

dc.subject

bioinformatics

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conceptual models

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machine learning

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metagenomics

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microbiome

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prediction

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quantitative models

dc.title

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.

dc.type

Journal article

pubs.begin-page

e00392

pubs.end-page

e00319

pubs.issue

5

pubs.organisational-group

Duke

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Pratt School of Engineering

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Civil and Environmental Engineering

pubs.publication-status

Published

pubs.volume

4

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