Cargando…
NOJAH: NOt Just Another Heatmap for genome-wide cluster analysis
Since their inception, several tools have been developed for cluster analysis and heatmap construction. The application of such tools to the number and types of genome-wide data available from next generation sequencing (NGS) technologies requires the adaptation of statistical concepts, such as in d...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438523/ https://www.ncbi.nlm.nih.gov/pubmed/30921318 http://dx.doi.org/10.1371/journal.pone.0204542 |
_version_ | 1783407115107303424 |
---|---|
author | Rupji, Manali Dwivedi, Bhakti Kowalski, Jeanne |
author_facet | Rupji, Manali Dwivedi, Bhakti Kowalski, Jeanne |
author_sort | Rupji, Manali |
collection | PubMed |
description | Since their inception, several tools have been developed for cluster analysis and heatmap construction. The application of such tools to the number and types of genome-wide data available from next generation sequencing (NGS) technologies requires the adaptation of statistical concepts, such as in defining a most variable gene set, and more intricate cluster analyses method to address multiple omic data types. Additionally, the growing number of publicly available datasets has created the desire to estimate the statistical significance of a gene signature derived from one dataset to similarly group samples based on another dataset. The currently available number of tools and their combined use for generating heatmaps, along with the several adaptations of statistical concepts for addressing the higher dimensionality of genome-wide NGS-derived data, has created a further challenge in the ability to replicate heatmap results. We introduce NOJAH (NOt Just Another Heatmap), an interactive tool that defines and implements a workflow for genome-wide cluster analysis and heatmap construction by creating and combining several tools into a single user interface. NOJAH includes several newly developed scripts for techniques that though frequently applied are not sufficiently documented to allow for replicability of results. These techniques include: defining a most variable gene set (a.k.a., ‘core genes’), estimating the statistical significance of a gene signature to separate samples into clusters, and performing a result merging integrated cluster analysis. With only a user uploaded dataset, NOJAH provides as output, among other things, the minimum documentation required for replicating heatmap results. Additionally, NOJAH contains five different existing R packages that are connected in the interface by their functionality as part of a defined workflow for genome-wide cluster analysis. The NOJAH application tool is available at http://bbisr.shinyapps.winship.emory.edu/NOJAH/ http://shinygispa.winship.emory.edu/shinyGISPA/ with corresponding source code available at https://github.com/bbisr-shinyapps/NOJAH/. |
format | Online Article Text |
id | pubmed-6438523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-64385232019-04-12 NOJAH: NOt Just Another Heatmap for genome-wide cluster analysis Rupji, Manali Dwivedi, Bhakti Kowalski, Jeanne PLoS One Research Article Since their inception, several tools have been developed for cluster analysis and heatmap construction. The application of such tools to the number and types of genome-wide data available from next generation sequencing (NGS) technologies requires the adaptation of statistical concepts, such as in defining a most variable gene set, and more intricate cluster analyses method to address multiple omic data types. Additionally, the growing number of publicly available datasets has created the desire to estimate the statistical significance of a gene signature derived from one dataset to similarly group samples based on another dataset. The currently available number of tools and their combined use for generating heatmaps, along with the several adaptations of statistical concepts for addressing the higher dimensionality of genome-wide NGS-derived data, has created a further challenge in the ability to replicate heatmap results. We introduce NOJAH (NOt Just Another Heatmap), an interactive tool that defines and implements a workflow for genome-wide cluster analysis and heatmap construction by creating and combining several tools into a single user interface. NOJAH includes several newly developed scripts for techniques that though frequently applied are not sufficiently documented to allow for replicability of results. These techniques include: defining a most variable gene set (a.k.a., ‘core genes’), estimating the statistical significance of a gene signature to separate samples into clusters, and performing a result merging integrated cluster analysis. With only a user uploaded dataset, NOJAH provides as output, among other things, the minimum documentation required for replicating heatmap results. Additionally, NOJAH contains five different existing R packages that are connected in the interface by their functionality as part of a defined workflow for genome-wide cluster analysis. The NOJAH application tool is available at http://bbisr.shinyapps.winship.emory.edu/NOJAH/ http://shinygispa.winship.emory.edu/shinyGISPA/ with corresponding source code available at https://github.com/bbisr-shinyapps/NOJAH/. Public Library of Science 2019-03-28 /pmc/articles/PMC6438523/ /pubmed/30921318 http://dx.doi.org/10.1371/journal.pone.0204542 Text en © 2019 Rupji et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Rupji, Manali Dwivedi, Bhakti Kowalski, Jeanne NOJAH: NOt Just Another Heatmap for genome-wide cluster analysis |
title | NOJAH: NOt Just Another Heatmap for genome-wide cluster analysis |
title_full | NOJAH: NOt Just Another Heatmap for genome-wide cluster analysis |
title_fullStr | NOJAH: NOt Just Another Heatmap for genome-wide cluster analysis |
title_full_unstemmed | NOJAH: NOt Just Another Heatmap for genome-wide cluster analysis |
title_short | NOJAH: NOt Just Another Heatmap for genome-wide cluster analysis |
title_sort | nojah: not just another heatmap for genome-wide cluster analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438523/ https://www.ncbi.nlm.nih.gov/pubmed/30921318 http://dx.doi.org/10.1371/journal.pone.0204542 |
work_keys_str_mv | AT rupjimanali nojahnotjustanotherheatmapforgenomewideclusteranalysis AT dwivedibhakti nojahnotjustanotherheatmapforgenomewideclusteranalysis AT kowalskijeanne nojahnotjustanotherheatmapforgenomewideclusteranalysis |