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Bryan D Martin

Researcher at University of Washington

Publications -  16
Citations -  10694

Bryan D Martin is an academic researcher from University of Washington. The author has contributed to research in topics: Ecological niche & Overdispersion. The author has an hindex of 11, co-authored 15 publications receiving 4654 citations.

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Journal ArticleDOI

Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

Evan Bolyen, +123 more
- 01 Aug 2019 - 
TL;DR: QIIME 2 development was primarily funded by NSF Awards 1565100 to J.G.C. and R.K.P. and partial support was also provided by the following: grants NIH U54CA143925 and U54MD012388.
Posted ContentDOI

QIIME 2: Reproducible, interactive, scalable, and extensible microbiome data science

Evan Bolyen, +119 more
- 24 Oct 2018 - 
TL;DR: QIIME 2 provides new features that will drive the next generation of microbiome research, including interactive spatial and temporal analysis and visualization tools, support for metabolomics and shotgun metagenomics analysis, and automated data provenance tracking to ensure reproducible, transparent microbiome data science.
Journal ArticleDOI

Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2.

Evan Bolyen, +125 more
- 01 Sep 2019 - 
TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Journal ArticleDOI

Biotransformation of the Naturally Occurring Isothiocyanate Sulforaphane in the Rat: Identification of Phase I Metabolites and Glutathione Conjugates

TL;DR: It is concluded that SFN undergoes metabolism by S-oxide reduction and dehydrogenation and that GSH conjugation is the major pathway by which the parent compound and its phase I metabolites are eliminated in the rat.
Journal ArticleDOI

Modeling microbial abundances and dysbiosis with beta-binomial regression

TL;DR: In this paper, the authors proposed a beta-binomial model for estimating the relative abundance of a particular taxon in a population of microbes, which allows for the overdispersion in the taxon's counts to be associated with covariates of interest.