Journal article
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
mSystems, Vol.4(5), e00392-19
09/01/2019
DOI: 10.1128/mSystems.00392-19
PMCID: PMC6787564
PMID: 31594828
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.
Details
- Title: Subtitle
- 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
- Creators
- Eric Sakowski - Johns Hopkins UniversityGherman Uritskiy - Johns Hopkins UniversityRachel Cooper - Johns Hopkins UniversityMaya Gomes - Johns Hopkins UniversityMichael R. McLaren - North Carolina State UniversityJacquelyn S. Meisel - University of Maryland, College ParkRebecca L. Mickol - American Society For Engineering EducationC. David Mintz - Johns Hopkins MedicineEmmanuel F. Mongodin - University of Maryland, BaltimoreMihai Pop - University of Maryland, College ParkMohammad Arifur Rahman - George Mason UniversityAlvaro Sanchez - Yale UniversityWinston Timp - Johns Hopkins UniversityJeseth Delgado Vela - Howard UniversityCarly Muletz Wolz - Smithsonian Conservation Biology InstituteJoseph P. Zackular - Children's Hospital of PhiladelphiaJessica Chopyk - University of Maryland, College ParkSeth Commichaux - University of Maryland, College ParkMeghan Davis - Johns Hopkins UniversityDouglas Dluzen - Morgan State UniversitySukirth M. Ganesan - National Institute of Dental and Craniofacial ResearchMuyideen Haruna - Morgan State UniversityDan Nasko - Univ Maryland, Ctr Bioinformat & Computat Biol, College Pk, MD 20742 USAMary J. Regan - University of Maryland, BaltimoreSaul Sarria - University of Maryland, College ParkNidhi Shah - University of Maryland, College ParkBrook Stacy - University of Maryland, College ParkDylan Taylor - University of Maryland, College ParkJocelyne DiRuggiero - Johns Hopkins UniversitySarah P. Preheim - Johns Hopkins University
- Resource Type
- Journal article
- Publication Details
- mSystems, Vol.4(5), e00392-19
- DOI
- 10.1128/mSystems.00392-19
- PMID
- 31594828
- PMCID
- PMC6787564
- NLM abbreviation
- mSystems
- ISSN
- 2379-5077
- eISSN
- 2379-5077
- Publisher
- Amer Soc Microbiology
- Number of pages
- 13
- Grant note
- Johns Hopkins University through the Department of Biology Johns Hopkins University through Krieger School of Arts and Sciences Johns Hopkins University through Whiting School of Engineering CosmosID Johns Hopkins University through Department of Environmental Health and Engineering
- Language
- English
- Date published
- 09/01/2019
- Academic Unit
- Periodontics
- Record Identifier
- 9984367737402771
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