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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

Authors :
Meghan F. Davis
Mary Regan
Joseph P. Zackular
Jacquelyn S. Meisel
Michael R. McLaren
Dylan Taylor
Seth Commichaux
M. L. Gomes
Nidhi Shah
Mohammad Arifur Rahman
Eric G. Sakowski
Gherman Uritskiy
Douglas F. Dluzen
Jessica Chopyk
Emmanuel F. Mongodin
R. L. Mickol
Mihai Pop
Saul Sarria
Muyideen Titilope Haruna
Rachel Cooper
Brook Stacy
Sarah P. Preheim
Jocelyne DiRuggiero
Winston Timp
Jeseth Delgado Vela
Daniel J. Nasko
Alvaro Sanchez
Sukirth M. Ganesan
C. David Mintz
Carly Muletz Wolz
Source :
mSystems, Vol 4, Iss 5 (2019), mSystems, mSystems, Vol 4, Iss 5, p e00392-19 (2019)
Publication Year :
2019
Publisher :
American Society for Microbiology, 2019.

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.<br />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.

Details

Language :
English
ISSN :
23795077
Volume :
4
Issue :
5
Database :
OpenAIRE
Journal :
mSystems
Accession number :
edsair.doi.dedup.....bf220575f71f100762f10f834b1cb132
Full Text :
https://doi.org/10.1128/mSystems.00392-19