UniFrac--an online tool for comparing microbial community diversity in a phylogenetic context.
UniFrac--an online tool for comparing microbial community diversity in a phylogenetic context.
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DOI：
10.1186/1471-2105-7-371
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发表时间：
2006-08-07
影响因子：
3
通讯作者：
Knight R
中科院分区：
文献类型：
--
作者：
Lozupone C;Hamady M;Knight R
超越成对显著性检验以同时比较许多微生物群落，对于理解微生物生态学和群落构建的大规模趋势至关重要。能够在系统发育背景下对微生物群落进行比较的技术正在迅速被接受，但这些技术的广泛应用因分析困难而受阻。
我们介绍UniFrac，一个可在[网站地址未给出]获取的网络应用程序，它能使几种用于群落间差异的系统发育检验易于应用和解释。我们展示了使用UniFrac对多种环境进行聚类，并检验哪些环境存在显著差异。我们表明，使用UniFrac界面分析先前发表的来自哥伦比亚河、其河口以及邻近沿海海洋的序列，提供了从最初数据分析中不明显的见解，最初的数据分析使用了其他常用技术来比较群落。
UniFrac为在系统发育背景下比较微生物群落提供了便捷的强大多元技术途径。因此，我们期望它能在环境和医学背景下为许多微生物相互作用和过程提供全新的视角。
Moving beyond pairwise significance tests to compare many microbial communities simultaneously is critical for understanding large-scale trends in microbial ecology and community assembly. Techniques that allow microbial communities to be compared in a phylogenetic context are rapidly gaining acceptance, but the widespread application of these techniques has been hindered by the difficulty of performing the analyses. We introduce UniFrac, a web application available at , that allows several phylogenetic tests for differences among communities to be easily applied and interpreted. We demonstrate the use of UniFrac to cluster multiple environments, and to test which environments are significantly different. We show that analysis of previously published sequences from the Columbia river, its estuary, and the adjacent coastal ocean using the UniFrac interface provided insights that were not apparent from the initial data analysis, which used other commonly employed techniques to compare the communities. UniFrac provides easy access to powerful multivariate techniques for comparing microbial communities in a phylogenetic context. We thus expect that it will provide a completely new picture of many microbial interactions and processes in both environmental and medical contexts.
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影响因子：
4.4
作者：
Lipson, DA;Schmidt, SK
通讯作者：
Schmidt, SK
影响因子：
14.9
作者：
Ludwig, W;Strunk, O;Schleifer, KH
通讯作者：
Schleifer, KH
影响因子：
2.8
作者：
Axelrood, PE;Chow, ML;Davies, J
通讯作者：
Davies, J
影响因子：
2.6
作者：
Sakamoto, M;Umeda, M;Benno, Y
通讯作者：
Benno, Y
DOI：
10.1073/pnas.0504978102
发表时间：
2005-08-02
影响因子：
11.1
作者：
Ley, RE;Bäckhed, F;Gordon, JI
通讯作者：
Gordon, JI