q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data-Reference-Cited by-同舟云学术

q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data

Published:2018-10-30 Issue:6 Volume:3 Page:
ISSN:2379-5077
Container-title:mSystems
language:en
Short-container-title:mSystems

Author:

Bokulich Nicholas A.¹^ORCID,Dillon Matthew R.¹,Zhang Yilong²,Rideout Jai Ram¹,Bolyen Evan¹,Li Huilin³,Albert Paul S.⁴,Caporaso J. Gregory¹⁵^ORCID

Affiliation:

1. The Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, Arizona, USA

2. Merck & Co., Inc., Kenilworth, New Jersey, USA

3. Departments of Population Health (Biostatistics) and Environmental Medicine, NYU Langone Medical Center, New York, New York, USA

4. Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA

5. Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA

Abstract

Longitudinal sampling provides valuable information about temporal trends and subject/population heterogeneity. We describe q2-longitudinal, a software plugin for longitudinal analysis of microbiome data sets in QIIME 2. The availability of longitudinal statistics and visualizations in the QIIME 2 framework will make the analysis of longitudinal data more accessible to microbiome researchers.

Funder

HHS | NIH | National Cancer Institute

HHS | National Institutes of Health

National Science Foundation

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

Link

https://journals.asm.org/doi/pdf/10.1128/mSystems.00219-18

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