TY - JOUR
T1 - q2-longitudinal
T2 - Longitudinal and paired-sample analyses of microbiome data
AU - Bokulich, Nicholas A.
AU - Dillon, Matthew R.
AU - Zhang, Yilong
AU - Rideout, Jai Ram
AU - Bolyen, Evan
AU - Li, Huilin
AU - Albert, Paul S.
AU - Gregory Caporaso, J.
N1 - Funding Information:
This project was funded in part by NSF award 1565100, The Partnership for Native American Cancer Prevention (NIH/NCI grants U54CA143924 and U54CA143925), and under the State of Arizona Technology and Research Initiative Fund (TRIF), administered by the Arizona Board of Regents, through Northern Arizona University. The study was supported in part by NIH grants R01DK110014 to H.L.
Publisher Copyright:
© 2018 Bokulich et al.
PY - 2018/12
Y1 - 2018/12
N2 - 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.
AB - 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.
KW - Bioinformatics
KW - Linear mixed effects
KW - Longitudinal analysis
KW - Microbiome
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U2 - 10.1128/MSYSTEMS.00219-18
DO - 10.1128/MSYSTEMS.00219-18
M3 - Article
AN - SCOPUS:85058147702
SN - 2379-5077
VL - 3
JO - mSystems
JF - mSystems
IS - 6
M1 - e00219-18
ER -