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

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....

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Detalles Bibliográficos
Autores principales: Riehle, Kevin, Coarfa, Cristian, Jackson, Andrew, Ma, Jun, Tandon, Arpit, Paithankar, Sameer, Raghuraman, Sriram, Mistretta, Toni-Ann, Saulnier, Delphine, Raza, Sabeen, Diaz, Maria Alejandra, Shulman, Robert, Aagaard, Kjersti, Versalovic, James, Milosavljevic, Aleksandar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3426808/
https://www.ncbi.nlm.nih.gov/pubmed/23320832
http://dx.doi.org/10.1186/1471-2105-13-S13-S11
Descripción
Sumario: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.