SLIDE – a web-based tool for interactive visualization of large-scale – omics data

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
Other Titles:
Bioinformatics
Keywords:
Publication Date:
28 June 2018
Citation:
Soumita Ghosh, Abhik Datta, Kaisen Tan, Hyungwon Choi, SLIDE – a web-based tool for interactive visualization of large-scale – omics data, Bioinformatics, Volume 35, Issue 2, 15 January 2019, Pages 346–348, https://doi.org/10.1093/bioinformatics/bty534
Abstract:
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.
License type:
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Funding Info:
This research is supported by core funding from: Institute of Molecular and Cell Biology, Agency for Science, Technology and Research
Grant Reference no. :

This research / project is supported by the Singapore Ministry of Education - Ministry of Education
Grant Reference no. : MOE2016-T2-1-001

This research / project is supported by the National Medical Research Council - Centre Grant
Grant Reference no. : NMRC-CG-M009
Description:
ISSN:
1367-4803
1460-2059
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