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. 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 informationSupplementary dataare available at Bioinformatics online.
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CITATION STYLE
Ghosh, S., Datta, A., Tan, K., & Choi, H. (2019). SLIDE - A web-based tool for interactive visualization of large-scale - Omics data. Bioinformatics, 35(2), 346–348. https://doi.org/10.1093/bioinformatics/bty534
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