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WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data

BACKGROUND: Exploration of large data sets, such as shotgun metagenomic sequence or expression data, by biomedical experts and medical professionals remains as a major bottleneck in the scientific discovery process. Although tools for this purpose exist for 16S ribosomal RNA sequencing analysis, the...

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Autores principales: Devlin, Joseph C., Battaglia, Thomas, Blaser, Martin J., Ruggles, Kelly V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019711/
https://www.ncbi.nlm.nih.gov/pubmed/29940835
http://dx.doi.org/10.1186/s12864-018-4870-z
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author Devlin, Joseph C.
Battaglia, Thomas
Blaser, Martin J.
Ruggles, Kelly V.
author_facet Devlin, Joseph C.
Battaglia, Thomas
Blaser, Martin J.
Ruggles, Kelly V.
author_sort Devlin, Joseph C.
collection PubMed
description BACKGROUND: Exploration of large data sets, such as shotgun metagenomic sequence or expression data, by biomedical experts and medical professionals remains as a major bottleneck in the scientific discovery process. Although tools for this purpose exist for 16S ribosomal RNA sequencing analysis, there is a growing but still insufficient number of user-friendly interactive visualization workflows for easy data exploration and figure generation. The development of such platforms for this purpose is necessary to accelerate and streamline microbiome laboratory research. RESULTS: We developed the Workflow Hub for Automated Metagenomic Exploration (WHAM!) as a web-based interactive tool capable of user-directed data visualization and statistical analysis of annotated shotgun metagenomic and metatranscriptomic data sets. WHAM! includes exploratory and hypothesis-based gene and taxa search modules for visualizing differences in microbial taxa and gene family expression across experimental groups, and for creating publication quality figures without the need for command line interface or in-house bioinformatics. CONCLUSIONS: WHAM! is an interactive and customizable tool for downstream metagenomic and metatranscriptomic analysis providing a user-friendly interface allowing for easy data exploration by microbiome and ecological experts to facilitate discovery in multi-dimensional and large-scale data sets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4870-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-60197112018-07-06 WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data Devlin, Joseph C. Battaglia, Thomas Blaser, Martin J. Ruggles, Kelly V. BMC Genomics Software BACKGROUND: Exploration of large data sets, such as shotgun metagenomic sequence or expression data, by biomedical experts and medical professionals remains as a major bottleneck in the scientific discovery process. Although tools for this purpose exist for 16S ribosomal RNA sequencing analysis, there is a growing but still insufficient number of user-friendly interactive visualization workflows for easy data exploration and figure generation. The development of such platforms for this purpose is necessary to accelerate and streamline microbiome laboratory research. RESULTS: We developed the Workflow Hub for Automated Metagenomic Exploration (WHAM!) as a web-based interactive tool capable of user-directed data visualization and statistical analysis of annotated shotgun metagenomic and metatranscriptomic data sets. WHAM! includes exploratory and hypothesis-based gene and taxa search modules for visualizing differences in microbial taxa and gene family expression across experimental groups, and for creating publication quality figures without the need for command line interface or in-house bioinformatics. CONCLUSIONS: WHAM! is an interactive and customizable tool for downstream metagenomic and metatranscriptomic analysis providing a user-friendly interface allowing for easy data exploration by microbiome and ecological experts to facilitate discovery in multi-dimensional and large-scale data sets. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4870-z) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-25 /pmc/articles/PMC6019711/ /pubmed/29940835 http://dx.doi.org/10.1186/s12864-018-4870-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Devlin, Joseph C.
Battaglia, Thomas
Blaser, Martin J.
Ruggles, Kelly V.
WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data
title WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data
title_full WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data
title_fullStr WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data
title_full_unstemmed WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data
title_short WHAM!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data
title_sort wham!: a web-based visualization suite for user-defined analysis of metagenomic shotgun sequencing data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6019711/
https://www.ncbi.nlm.nih.gov/pubmed/29940835
http://dx.doi.org/10.1186/s12864-018-4870-z
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