User profiles for J. R. Rideout

Jai Ram Rideout

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Cited by 21755

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

E Bolyen, JR Rideout, MR Dillon, NA Bokulich… - Nature …, 2019 - nature.com
To the Editor—Rapid advances in DNA-sequencing and bioinformatics technologies in the
past two decades have substantially improved understanding of the microbial world. This …

[HTML][HTML] Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2's q2-feature-classifier plugin

NA Bokulich, BD Kaehler, JR Rideout, M Dillon… - Microbiome, 2018 - Springer
Background Taxonomic classification of marker-gene sequences is an important step in
microbiome analysis. Results We present q2-feature-classifier ( https://github.com/qiime2/q2-…

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

E Bolyen, JR Rideout, MR Dillon, NA Bokulich, C Abnet… - 2018 - peerj.com
We present QIIME 2, an opensource microbiome data science platform accessible to users
spanning the microbiome research ecosystem, from scientists and engineers to clinicians …

The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome

…, JC Clemente, J Kuczynski, JR Rideout… - …, 2012 - academic.oup.com
Background We present the Biological Observation Matrix (BIOM, pronounced “biome”)
format: a JSON-based file format for representing arbitrary observation by sample contingency …

[HTML][HTML] Subsampled open-reference clustering creates consistent, comprehensive OTU definitions and scales to billions of sequences

JR Rideout, Y He, JA Navas-Molina, WA Walters… - PeerJ, 2014 - peerj.com
We present a performance-optimized algorithm, subsampled open-reference OTU picking,
for assigning marker gene (eg, 16S rRNA) sequences generated on next-generation …

Qiita: rapid, web-enabled microbiome meta-analysis

…, CJ Brislawn, M Wang, JR Rideout… - Nature …, 2018 - nature.com
Multi-omic insights into microbiome function and composition typically advance one study at
a time. However, in order for relationships across studies to be fully understood, data must …

[HTML][HTML] Temporal variability is a personalized feature of the human microbiome

GE Flores, JG Caporaso, JB Henley, JR Rideout… - Genome biology, 2014 - Springer
Background It is now apparent that the complex microbial communities found on and in the
human body vary across individuals. What has largely been missing from previous studies is …

The interpersonal and intrapersonal diversity of human-associated microbiota in key body sites

LK Ursell, JC Clemente, JR Rideout, D Gevers… - Journal of Allergy and …, 2012 - Elsevier
The human body harbors 10 to 100 trillion microbes, mainly bacteria in our gut, which greatly
outnumber our own human cells. This bacterial assemblage, referred to as the human …

q2-longitudinal: longitudinal and paired-sample analyses of microbiome data

NA Bokulich, MR Dillon, Y Zhang, JR Rideout… - …, 2018 - Am Soc Microbiol
Studies of host-associated and environmental microbiomes often incorporate longitudinal
sampling or paired samples in their experimental design. Longitudinal sampling provides …

[HTML][HTML] Stability of operational taxonomic units: an important but neglected property for analyzing microbial diversity

…, XT Jiang, HF Sheng, SM Huse, JR Rideout… - Microbiome, 2015 - Springer
Background The operational taxonomic unit (OTU) is widely used in microbial ecology.
Reproducibility in microbial ecology research depends on the reliability of OTU-based 16S …