Cargando…
The Omics Dashboard for interactive exploration of gene-expression data
The Omics Dashboard is a software tool for interactive exploration and analysis of gene-expression datasets. The Omics Dashboard is organized as a hierarchy of cellular systems. At the highest level of the hierarchy the Dashboard contains graphical panels depicting systems such as biosynthesis, ener...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716103/ https://www.ncbi.nlm.nih.gov/pubmed/29040755 http://dx.doi.org/10.1093/nar/gkx910 |
_version_ | 1783283879309737984 |
---|---|
author | Paley, Suzanne Parker, Karen Spaulding, Aaron Tomb, Jean-Francois O’Maille, Paul Karp, Peter D. |
author_facet | Paley, Suzanne Parker, Karen Spaulding, Aaron Tomb, Jean-Francois O’Maille, Paul Karp, Peter D. |
author_sort | Paley, Suzanne |
collection | PubMed |
description | The Omics Dashboard is a software tool for interactive exploration and analysis of gene-expression datasets. The Omics Dashboard is organized as a hierarchy of cellular systems. At the highest level of the hierarchy the Dashboard contains graphical panels depicting systems such as biosynthesis, energy metabolism, regulation and central dogma. Each of those panels contains a series of X–Y plots depicting expression levels of subsystems of that panel, e.g. subsystems within the central dogma panel include transcription, translation and protein maturation and folding. The Dashboard presents a visual read-out of the expression status of cellular systems to facilitate a rapid top-down user survey of how all cellular systems are responding to a given stimulus, and to enable the user to quickly view the responses of genes within specific systems of interest. Although the Dashboard is complementary to traditional statistical methods for analysis of gene-expression data, we show how it can detect changes in gene expression that statistical techniques may overlook. We present the capabilities of the Dashboard using two case studies: the analysis of lipid production for the marine alga Thalassiosira pseudonana, and an investigation of a shift from anaerobic to aerobic growth for the bacterium Escherichia coli. |
format | Online Article Text |
id | pubmed-5716103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57161032017-12-08 The Omics Dashboard for interactive exploration of gene-expression data Paley, Suzanne Parker, Karen Spaulding, Aaron Tomb, Jean-Francois O’Maille, Paul Karp, Peter D. Nucleic Acids Res Computational Biology The Omics Dashboard is a software tool for interactive exploration and analysis of gene-expression datasets. The Omics Dashboard is organized as a hierarchy of cellular systems. At the highest level of the hierarchy the Dashboard contains graphical panels depicting systems such as biosynthesis, energy metabolism, regulation and central dogma. Each of those panels contains a series of X–Y plots depicting expression levels of subsystems of that panel, e.g. subsystems within the central dogma panel include transcription, translation and protein maturation and folding. The Dashboard presents a visual read-out of the expression status of cellular systems to facilitate a rapid top-down user survey of how all cellular systems are responding to a given stimulus, and to enable the user to quickly view the responses of genes within specific systems of interest. Although the Dashboard is complementary to traditional statistical methods for analysis of gene-expression data, we show how it can detect changes in gene expression that statistical techniques may overlook. We present the capabilities of the Dashboard using two case studies: the analysis of lipid production for the marine alga Thalassiosira pseudonana, and an investigation of a shift from anaerobic to aerobic growth for the bacterium Escherichia coli. Oxford University Press 2017-12-01 2017-10-13 /pmc/articles/PMC5716103/ /pubmed/29040755 http://dx.doi.org/10.1093/nar/gkx910 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Computational Biology Paley, Suzanne Parker, Karen Spaulding, Aaron Tomb, Jean-Francois O’Maille, Paul Karp, Peter D. The Omics Dashboard for interactive exploration of gene-expression data |
title | The Omics Dashboard for interactive exploration of gene-expression data |
title_full | The Omics Dashboard for interactive exploration of gene-expression data |
title_fullStr | The Omics Dashboard for interactive exploration of gene-expression data |
title_full_unstemmed | The Omics Dashboard for interactive exploration of gene-expression data |
title_short | The Omics Dashboard for interactive exploration of gene-expression data |
title_sort | omics dashboard for interactive exploration of gene-expression data |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716103/ https://www.ncbi.nlm.nih.gov/pubmed/29040755 http://dx.doi.org/10.1093/nar/gkx910 |
work_keys_str_mv | AT paleysuzanne theomicsdashboardforinteractiveexplorationofgeneexpressiondata AT parkerkaren theomicsdashboardforinteractiveexplorationofgeneexpressiondata AT spauldingaaron theomicsdashboardforinteractiveexplorationofgeneexpressiondata AT tombjeanfrancois theomicsdashboardforinteractiveexplorationofgeneexpressiondata AT omaillepaul theomicsdashboardforinteractiveexplorationofgeneexpressiondata AT karppeterd theomicsdashboardforinteractiveexplorationofgeneexpressiondata AT paleysuzanne omicsdashboardforinteractiveexplorationofgeneexpressiondata AT parkerkaren omicsdashboardforinteractiveexplorationofgeneexpressiondata AT spauldingaaron omicsdashboardforinteractiveexplorationofgeneexpressiondata AT tombjeanfrancois omicsdashboardforinteractiveexplorationofgeneexpressiondata AT omaillepaul omicsdashboardforinteractiveexplorationofgeneexpressiondata AT karppeterd omicsdashboardforinteractiveexplorationofgeneexpressiondata |