| Literature DB >> 30059804 |
Anupriya Tripathi1, Clarisse Marotz1, Antonio Gonzalez1, Yoshiki Vázquez-Baeza1, Se Jin Song1, Amina Bouslimani2, Daniel McDonald1, Qiyun Zhu1, Jon G Sanders1, Larry Smarr3, Pieter C Dorrestein4, Rob Knight5.
Abstract
Hypothesis-driven research has led to many scientific advances, but hypotheses cannot be tested in isolation: rather, they require a framework of aggregated scientific knowledge to allow questions to be posed meaningfully. This framework is largely still lacking in microbiome studies, and the only way to create it is by discovery-driven, tool-driven, and standards-driven research projects. Here we illustrate these issues using several such non-hypothesis-driven projects from our own laboratories, including spatial mapping, the American Gut Project, the Earth Microbiome Project (which is an umbrella project integrating many smaller hypothesis-driven projects), and the knowledgebase-driven tools GNPS and Qiita. We argue that an investment of community resources in infrastructure tasks, and in the controls and standards that underpin them, will greatly enhance the investment in hypothesis-driven research programs.Entities:
Mesh:
Year: 2018 PMID: 30059804 PMCID: PMC6153026 DOI: 10.1016/j.mib.2018.07.002
Source DB: PubMed Journal: Curr Opin Microbiol ISSN: 1369-5274 Impact factor: 7.934