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i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data
Data visualization and interactive data exploration are important aspects of illustrating complex concepts and results from analyses of omics data. A suitable visualization has to be intuitive and accessible. Web-based dashboards have become popular tools for the arrangement, consolidation, and disp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801041/ https://www.ncbi.nlm.nih.gov/pubmed/34280547 http://dx.doi.org/10.1016/j.gpb.2021.01.007 |
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author | Ustjanzew, Arsenij Preussner, Jens Bentsen, Mette Kuenne, Carsten Looso, Mario |
author_facet | Ustjanzew, Arsenij Preussner, Jens Bentsen, Mette Kuenne, Carsten Looso, Mario |
author_sort | Ustjanzew, Arsenij |
collection | PubMed |
description | Data visualization and interactive data exploration are important aspects of illustrating complex concepts and results from analyses of omics data. A suitable visualization has to be intuitive and accessible. Web-based dashboards have become popular tools for the arrangement, consolidation, and display of such visualizations. However, the combination of automated data processing pipelines handling omics data and dynamically generated, interactive dashboards is poorly solved. Here, we present i2dash, an R package intended to encapsulate functionality for the programmatic creation of customized dashboards. It supports interactive and responsive (linked) visualizations across a set of predefined graphical layouts. i2dash addresses the needs of data analysts/software developers for a tool that is compatible and attachable to any R-based analysis pipeline, thereby fostering the separation of data visualization on one hand and data analysis tasks on the other hand. In addition, the generic design of i2dash enables the development of modular extensions for specific needs. As a proof of principle, we provide an extension of i2dash optimized for single-cell RNA sequencing analysis, supporting the creation of dashboards for the visualization needs of such experiments. Equipped with these features, i2dash is suitable for extensive use in large-scale sequencing/bioinformatics facilities. Along this line, we provide i2dash as a containerized solution, enabling a straightforward large-scale deployment and sharing of dashboards using cloud services. i2dash is freely available via the R package archive CRAN (https://CRAN.R-project.org/package=i2dash). |
format | Online Article Text |
id | pubmed-9801041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98010412022-12-31 i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data Ustjanzew, Arsenij Preussner, Jens Bentsen, Mette Kuenne, Carsten Looso, Mario Genomics Proteomics Bioinformatics Application Note Data visualization and interactive data exploration are important aspects of illustrating complex concepts and results from analyses of omics data. A suitable visualization has to be intuitive and accessible. Web-based dashboards have become popular tools for the arrangement, consolidation, and display of such visualizations. However, the combination of automated data processing pipelines handling omics data and dynamically generated, interactive dashboards is poorly solved. Here, we present i2dash, an R package intended to encapsulate functionality for the programmatic creation of customized dashboards. It supports interactive and responsive (linked) visualizations across a set of predefined graphical layouts. i2dash addresses the needs of data analysts/software developers for a tool that is compatible and attachable to any R-based analysis pipeline, thereby fostering the separation of data visualization on one hand and data analysis tasks on the other hand. In addition, the generic design of i2dash enables the development of modular extensions for specific needs. As a proof of principle, we provide an extension of i2dash optimized for single-cell RNA sequencing analysis, supporting the creation of dashboards for the visualization needs of such experiments. Equipped with these features, i2dash is suitable for extensive use in large-scale sequencing/bioinformatics facilities. Along this line, we provide i2dash as a containerized solution, enabling a straightforward large-scale deployment and sharing of dashboards using cloud services. i2dash is freely available via the R package archive CRAN (https://CRAN.R-project.org/package=i2dash). Elsevier 2022-06 2021-07-17 /pmc/articles/PMC9801041/ /pubmed/34280547 http://dx.doi.org/10.1016/j.gpb.2021.01.007 Text en © 2022 Beijing Institute of Genomics https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Application Note Ustjanzew, Arsenij Preussner, Jens Bentsen, Mette Kuenne, Carsten Looso, Mario i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data |
title | i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data |
title_full | i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data |
title_fullStr | i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data |
title_full_unstemmed | i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data |
title_short | i2dash: Creation of Flexible, Interactive, and Web-based Dashboards for Visualization of Omics Data |
title_sort | i2dash: creation of flexible, interactive, and web-based dashboards for visualization of omics data |
topic | Application Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801041/ https://www.ncbi.nlm.nih.gov/pubmed/34280547 http://dx.doi.org/10.1016/j.gpb.2021.01.007 |
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