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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
- 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.
- Subjects :
- Standardization
Physiology
Computer science
lcsh:QR1-502
microbiome
Biochemistry
Microbiology
lcsh:Microbiology
03 medical and health sciences
Genetics
Microbiome
Molecular Biology
Ecology, Evolution, Behavior and Systematics
030304 developmental biology
0303 health sciences
metagenomics
Applied and Environmental Science
030306 microbiology
bioinformatics
prediction
Data science
conceptual models
QR1-502
Computer Science Applications
machine learning
Metagenomics
Modeling and Simulation
Perspective
quantitative models
Subjects
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