Journal
BIOINFORMATICS
Volume 35, Issue 2, Pages 346-348Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bty534
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Funding
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore Ministry of Education [MOE2016-T2-1-001]
- Singapore National Medical Research Council [NMRC-CG-M009]
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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.
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