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ABSTRACT: 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.
SUBMITTER: Ghosh S
PROVIDER: S-EPMC6330001 | biostudies-literature | 2019 Jan
REPOSITORIES: biostudies-literature
Ghosh Soumita S Datta Abhik A Tan Kaisen K Choi Hyungwon H
Bioinformatics (Oxford, England) 20190101 2
<h4>Summary</h4>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 dr ...[more]