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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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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
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author 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
author_facet 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
author_sort Riehle, Kevin
collection PubMed
description 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.
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spelling pubmed-34268082012-08-24 The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences 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 BMC Bioinformatics Research 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. BioMed Central 2012-08-24 /pmc/articles/PMC3426808/ /pubmed/23320832 http://dx.doi.org/10.1186/1471-2105-13-S13-S11 Text en Copyright ©2012 Riehle et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
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
The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences
title The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences
title_full The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences
title_fullStr The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences
title_full_unstemmed The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences
title_short The Genboree Microbiome Toolset and the analysis of 16S rRNA microbial sequences
title_sort genboree microbiome toolset and the analysis of 16s rrna microbial sequences
topic Research
url 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
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