q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data.
q2-longitudinal: Longitudinal and Paired-Sample Analyses of Microbiome Data.
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DOI：
10.1128/msystems.00219-18
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发表时间：
2018-11
期刊：
影响因子：
6.4
通讯作者：
Caporaso JG
中科院分区：
文献类型：
--
作者：
Bokulich NA;Dillon MR;Zhang Y;Rideout JR;Bolyen E;Li H;Albert PS;Caporaso JG
纵向抽样提供了有关时间趋势和受试者/人群异质性的有价值的信息。我们描述了q2-longitudinal，一个用于QIIME 2中微生物组数据集纵向分析的软件插件。QIIME 2框架中纵向统计和可视化的可用性将使微生物组研究人员更容易获得纵向数据的分析。宿主相关和环境微生物组的研究通常在其实验设计中采用纵向采样或配对样本。纵向抽样提供了关于时间趋势和受试者/人群异质性的有价值的信息，提供了横截面和前后研究设计的优势。为了支持进行纵向研究的微生物组研究人员的需求，我们开发了q2-longitudinal，这是QIIME 2微生物组分析平台（https：//www.example.com）的软件插件。qiime2.org q2-longitudinal插件集成了多种方法来分析纵向和配对样本数据，包括交互式绘图、线性混合效应模型、配对差异和距离、微生物相互依赖性测试、一阶差分、纵向特征选择和波动性分析。q2-longitudinal软件包（https：//github.com/qiime2/q2-longitudinal）是在3条款Berkeley Software Distribution（BSD）许可下发布的开源软件，可免费获得，包括商业用途。重要性纵向抽样提供了有关时间趋势和受试者/人群异质性的有价值的信息。我们描述了q2-longitudinal，一个用于QIIME 2中微生物组数据集纵向分析的软件插件。QIIME 2框架中纵向统计和可视化的可用性将使微生物组研究人员更容易获得纵向数据的分析。
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. 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.