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

Studies of host-associated and environmental microbiomes often incorporate longitudinal sampling or paired samples in their experimental design. Longitudinal sampling provides valuable information about temporal trends and subject/population heterogeneity, offering advantages over cross-sectional an...

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Autores principales: Bokulich, Nicholas A., Dillon, Matthew R., Zhang, Yilong, Rideout, Jai Ram, Bolyen, Evan, Li, Huilin, Albert, Paul S., Caporaso, J. Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247016/
https://www.ncbi.nlm.nih.gov/pubmed/30505944
http://dx.doi.org/10.1128/mSystems.00219-18
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author Bokulich, Nicholas A.
Dillon, Matthew R.
Zhang, Yilong
Rideout, Jai Ram
Bolyen, Evan
Li, Huilin
Albert, Paul S.
Caporaso, J. Gregory
author_facet Bokulich, Nicholas A.
Dillon, Matthew R.
Zhang, Yilong
Rideout, Jai Ram
Bolyen, Evan
Li, Huilin
Albert, Paul S.
Caporaso, J. Gregory
author_sort Bokulich, Nicholas A.
collection PubMed
description Studies of host-associated and environmental microbiomes often incorporate longitudinal sampling or paired samples in their experimental design. Longitudinal sampling provides valuable information about temporal trends and subject/population heterogeneity, offering advantages over cross-sectional and pre-post study designs. To support the needs of microbiome researchers performing longitudinal studies, we developed q2-longitudinal, a software plugin for the QIIME 2 microbiome analysis platform (https://qiime2.org). The q2-longitudinal plugin incorporates multiple methods for analysis of longitudinal and paired-sample data, including interactive plotting, linear mixed-effects models, paired differences and distances, microbial interdependence testing, first differencing, longitudinal feature selection, and volatility analyses. The q2-longitudinal package (https://github.com/qiime2/q2-longitudinal) is open-source software released under a 3-clause Berkeley Software Distribution (BSD) license and is freely available, including for commercial use. IMPORTANCE 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.
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spelling pubmed-62470162018-11-30 q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data Bokulich, Nicholas A. Dillon, Matthew R. Zhang, Yilong Rideout, Jai Ram Bolyen, Evan Li, Huilin Albert, Paul S. Caporaso, J. Gregory mSystems Methods and Protocols Studies of host-associated and environmental microbiomes often incorporate longitudinal sampling or paired samples in their experimental design. Longitudinal sampling provides valuable information about temporal trends and subject/population heterogeneity, offering advantages over cross-sectional and pre-post study designs. To support the needs of microbiome researchers performing longitudinal studies, we developed q2-longitudinal, a software plugin for the QIIME 2 microbiome analysis platform (https://qiime2.org). The q2-longitudinal plugin incorporates multiple methods for analysis of longitudinal and paired-sample data, including interactive plotting, linear mixed-effects models, paired differences and distances, microbial interdependence testing, first differencing, longitudinal feature selection, and volatility analyses. The q2-longitudinal package (https://github.com/qiime2/q2-longitudinal) is open-source software released under a 3-clause Berkeley Software Distribution (BSD) license and is freely available, including for commercial use. IMPORTANCE 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. American Society for Microbiology 2018-11-20 /pmc/articles/PMC6247016/ /pubmed/30505944 http://dx.doi.org/10.1128/mSystems.00219-18 Text en Copyright © 2018 Bokulich et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Methods and Protocols
Bokulich, Nicholas A.
Dillon, Matthew R.
Zhang, Yilong
Rideout, Jai Ram
Bolyen, Evan
Li, Huilin
Albert, Paul S.
Caporaso, J. Gregory
q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data
title q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data
title_full q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data
title_fullStr q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data
title_full_unstemmed q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data
title_short q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data
title_sort q2-longitudinal: longitudinal and paired-sample analyses of microbiome data
topic Methods and Protocols
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6247016/
https://www.ncbi.nlm.nih.gov/pubmed/30505944
http://dx.doi.org/10.1128/mSystems.00219-18
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