Cargando…
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....
Autores principales: | , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782241546920263680 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3426808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT riehlekevin thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT coarfacristian thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT jacksonandrew thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT majun thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT tandonarpit thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT paithankarsameer thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT raghuramansriram thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT mistrettatoniann thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT saulnierdelphine thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT razasabeen thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT diazmariaalejandra thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT shulmanrobert thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT aagaardkjersti thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT versalovicjames thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT milosavljevicaleksandar thegenboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT riehlekevin genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT coarfacristian genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT jacksonandrew genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT majun genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT tandonarpit genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT paithankarsameer genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT raghuramansriram genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT mistrettatoniann genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT saulnierdelphine genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT razasabeen genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT diazmariaalejandra genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT shulmanrobert genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT aagaardkjersti genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT versalovicjames genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences AT milosavljevicaleksandar genboreemicrobiometoolsetandtheanalysisof16srrnamicrobialsequences |