The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences

被引:28
|
作者
Riehle, Kevin
Coarfa, Cristian
Jackson, Andrew
Ma, Jun
Tandon, Arpit
Paithankar, Sameer
Raghuraman, Sriram
Mistretta, Toni-Ann
Saulnier, Delphine [2 ]
Raza, Sabeen
Diaz, Maria Alejandra
Shulman, Robert [1 ]
Aagaard, Kjersti
Versalovic, James
Milosavljevic, Aleksandar [1 ]
机构
[1] Baylor Coll Med, Dept Pediat, Houston, TX 77030 USA
[2] Nizo Food Res, NL-6710 BA Ede, Netherlands
来源
BMC BIOINFORMATICS | 2012年 / 13卷
关键词
COMMUNITIES;
D O I
10.1186/1471-2105-13-S13-S11
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Background: Microbial metagenomic analyses rely on an increasing number of publicly available tools. Installation, integration, and maintenance of the tools poses significant burden on many researchers and creates a barrier to adoption of microbiome analysis, particularly in translational settings. Methods: To address this need we have integrated a rich collection of microbiome analysis tools into the Genboree Microbiome Toolset and exposed them to the scientific community using the Software-as-a-Service model via the Genboree Workbench. The Genboree Microbiome Toolset provides an interactive environment for users at all bioinformatic experience levels in which to conduct microbiome analysis. The Toolset drives hypothesis generation by providing a wide range of analyses including alpha diversity and beta diversity, phylogenetic profiling, supervised machine learning, and feature selection. Results: We validate the Toolset in two studies of the gut microbiota, one involving obese and lean twins, and the other involving children suffering from the irritable bowel syndrome. Conclusions: By lowering the barrier to performing a comprehensive set of microbiome analyses, the Toolset empowers investigators to translate high-volume sequencing data into valuable biomedical discoveries.
引用
收藏
页数:11
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