TY - JOUR
T1 - Best practices for analysing microbiomes
AU - Knight, Rob
AU - Vrbanac, Alison
AU - Taylor, Bryn C.
AU - Aksenov, Alexander
AU - Callewaert, Chris
AU - Debelius, Justine
AU - Gonzalez, Antonio
AU - Kosciolek, Tomasz
AU - McCall, Laura Isobel
AU - McDonald, Daniel
AU - Melnik, Alexey V.
AU - Morton, James T.
AU - Navas, Jose
AU - Quinn, Robert A.
AU - Sanders, Jon G.
AU - Swafford, Austin D.
AU - Thompson, Luke R.
AU - Tripathi, Anupriya
AU - Xu, Zhenjiang Z.
AU - Zaneveld, Jesse R.
AU - Zhu, Qiyun
AU - Caporaso, J. Gregory
AU - Dorrestein, Pieter C.
N1 - Publisher Copyright:
© 2018 Macmillan Publishers Ltd., part of Springer Nature.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Complex microbial communities shape the dynamics of various environments, ranging from the mammalian gastrointestinal tract to the soil. Advances in DNA sequencing technologies and data analysis have provided drastic improvements in microbiome analyses, for example, in taxonomic resolution, false discovery rate control and other properties, over earlier methods. In this Review, we discuss the best practices for performing a microbiome study, including experimental design, choice of molecular analysis technology, methods for data analysis and the integration of multiple omics data sets. We focus on recent findings that suggest that operational taxonomic unit-based analyses should be replaced with new methods that are based on exact sequence variants, methods for integrating metagenomic and metabolomic data, and issues surrounding compositional data analysis, where advances have been particularly rapid. We note that although some of these approaches are new, it is important to keep sight of the classic issues that arise during experimental design and relate to research reproducibility. We describe how keeping these issues in mind allows researchers to obtain more insight from their microbiome data sets.
AB - Complex microbial communities shape the dynamics of various environments, ranging from the mammalian gastrointestinal tract to the soil. Advances in DNA sequencing technologies and data analysis have provided drastic improvements in microbiome analyses, for example, in taxonomic resolution, false discovery rate control and other properties, over earlier methods. In this Review, we discuss the best practices for performing a microbiome study, including experimental design, choice of molecular analysis technology, methods for data analysis and the integration of multiple omics data sets. We focus on recent findings that suggest that operational taxonomic unit-based analyses should be replaced with new methods that are based on exact sequence variants, methods for integrating metagenomic and metabolomic data, and issues surrounding compositional data analysis, where advances have been particularly rapid. We note that although some of these approaches are new, it is important to keep sight of the classic issues that arise during experimental design and relate to research reproducibility. We describe how keeping these issues in mind allows researchers to obtain more insight from their microbiome data sets.
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U2 - 10.1038/s41579-018-0029-9
DO - 10.1038/s41579-018-0029-9
M3 - Review article
C2 - 29795328
AN - SCOPUS:85047267981
SN - 1740-1526
VL - 16
SP - 410
EP - 422
JO - Nature Reviews Microbiology
JF - Nature Reviews Microbiology
IS - 7
ER -