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SLIDE – a web-based tool for interactive visualization of large-scale – omics data
SUMMARY: Data visualization is often regarded as a post hoc step for verifying statistically significant results in the analysis of high-throughput datasets. This common practice leaves a large amount of raw data behind, from which more information can be extracted. However, existing solutions do no...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330001/ https://www.ncbi.nlm.nih.gov/pubmed/29955804 http://dx.doi.org/10.1093/bioinformatics/bty534 |
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author | Ghosh, Soumita Datta, Abhik Tan, Kaisen Choi, Hyungwon |
author_facet | Ghosh, Soumita Datta, Abhik Tan, Kaisen Choi, Hyungwon |
author_sort | Ghosh, Soumita |
collection | PubMed |
description | SUMMARY: Data visualization is often regarded as a post hoc step for verifying statistically significant results in the analysis of high-throughput datasets. This common practice leaves a large amount of raw data behind, from which more information can be extracted. However, existing solutions do not provide capabilities to explore large-scale raw datasets using biologically sensible queries, nor do they allow user interaction based real-time customization of graphics. To address these drawbacks, we have designed an open-source, web-based tool called Systems-Level Interactive Data Exploration, or SLIDE to visualize large-scale -omics data interactively. SLIDE’s interface makes it easier for scientists to explore quantitative expression data in multiple resolutions in a single screen. AVAILABILITY AND IMPLEMENTATION: SLIDE is publicly available under BSD license both as an online version as well as a stand-alone version at https://github.com/soumitag/SLIDE. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6330001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63300012019-01-15 SLIDE – a web-based tool for interactive visualization of large-scale – omics data Ghosh, Soumita Datta, Abhik Tan, Kaisen Choi, Hyungwon Bioinformatics Applications Notes SUMMARY: Data visualization is often regarded as a post hoc step for verifying statistically significant results in the analysis of high-throughput datasets. This common practice leaves a large amount of raw data behind, from which more information can be extracted. However, existing solutions do not provide capabilities to explore large-scale raw datasets using biologically sensible queries, nor do they allow user interaction based real-time customization of graphics. To address these drawbacks, we have designed an open-source, web-based tool called Systems-Level Interactive Data Exploration, or SLIDE to visualize large-scale -omics data interactively. SLIDE’s interface makes it easier for scientists to explore quantitative expression data in multiple resolutions in a single screen. AVAILABILITY AND IMPLEMENTATION: SLIDE is publicly available under BSD license both as an online version as well as a stand-alone version at https://github.com/soumitag/SLIDE. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-01-15 2018-06-28 /pmc/articles/PMC6330001/ /pubmed/29955804 http://dx.doi.org/10.1093/bioinformatics/bty534 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial 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 | Applications Notes Ghosh, Soumita Datta, Abhik Tan, Kaisen Choi, Hyungwon SLIDE – a web-based tool for interactive visualization of large-scale – omics data |
title | SLIDE – a web-based tool for interactive visualization of large-scale – omics data |
title_full | SLIDE – a web-based tool for interactive visualization of large-scale – omics data |
title_fullStr | SLIDE – a web-based tool for interactive visualization of large-scale – omics data |
title_full_unstemmed | SLIDE – a web-based tool for interactive visualization of large-scale – omics data |
title_short | SLIDE – a web-based tool for interactive visualization of large-scale – omics data |
title_sort | slide – a web-based tool for interactive visualization of large-scale – omics data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6330001/ https://www.ncbi.nlm.nih.gov/pubmed/29955804 http://dx.doi.org/10.1093/bioinformatics/bty534 |
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