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.authorSakowski, Eric
dc.contributor.authorUritskiy, Gherman
dc.contributor.authorCooper, Rachel
dc.contributor.authorGomes, Maya
dc.contributor.authorMcLaren, Michael R.
dc.contributor.authorMeisel, Jacquelyn S.
dc.contributor.authorMickol, Rebecca L.
dc.contributor.authorMintz, C. D.
dc.contributor.authorMongodin, Emmanuel F.
dc.contributor.authorPop, Mihai
dc.contributor.authorRahman, Mohammad Arifur
dc.contributor.authorSanchez, Alvaro
dc.contributor.authorTimp, Winston
dc.contributor.authorVela, Jeseth Delgado
dc.contributor.authorWolz, Carly Muletz
dc.contributor.authorZackular, Joseph P.
dc.contributor.authorChopyk, Jessica
dc.contributor.authorCommichaux, Seth
dc.contributor.authorDavis, Meghan
dc.contributor.authorDluzen, Douglas
dc.contributor.authorGanesan, Sukirth M.
dc.contributor.authorHaruna, Muyideen
dc.contributor.authorNasko, Dan
dc.contributor.authorRegan, Mary J.
dc.contributor.authorSarria, Saul
dc.contributor.authorShah, Nidhi
dc.contributor.authorStacy, Brook
dc.contributor.authorTaylor, Dylan
dc.contributor.authorDiRuggiero, Jocelyne
dc.contributor.authorPreheim, Sarah P.
dc.date.accessioned2020-02-13T03:01:59Z
dc.date.available2020-02-13T03:01:59Z
dc.date.issued2019
dc.description.abstractAccurate 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.identifier2379-5077
dc.identifier.citationSakowski, Eric, Uritskiy, Gherman, Cooper, Rachel, Gomes, Maya, McLaren, Michael R., Meisel, Jacquelyn S., Mickol, Rebecca L., Mintz, C. D., Mongodin, Emmanuel F., Pop, Mihai, Rahman, Mohammad Arifur, Sanchez, Alvaro, Timp, Winston, Vela, Jeseth Delgado, Wolz, Carly Muletz, Zackular, Joseph P., Chopyk, Jessica, Commichaux, Seth, Davis, Meghan, Dluzen, Douglas, Ganesan, Sukirth M., Haruna, Muyideen, Nasko, Dan, Regan, Mary J., Sarria, Saul et al. 2019. "<a href="https://repository.si.edu/handle/10088/103299">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</a>." <em>mSystems</em>, 4, (5). <a href="https://doi.org/10.1128/mSystems.00392-19">https://doi.org/10.1128/mSystems.00392-19</a>.
dc.identifier.issn2379-5077
dc.identifier.urihttps://hdl.handle.net/10088/103299
dc.relation.ispartofmSystems 4 (5)
dc.titleCurrent 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.typearticle
sro.description.unitNZP
sro.identifier.doi10.1128/mSystems.00392-19
sro.identifier.itemID154214
sro.identifier.refworksID78410
sro.identifier.urlhttps://repository.si.edu/handle/10088/103299

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