SLIDE

SLIDE provides interactive multi-resolution visualization and biologically informed querying of large-scale omics and quantitative expression datasets to enable systems-level exploration of raw high-throughput data.


Key Features:

  • Interactive multi-resolution visualization: Enables exploration of quantitative expression data across multiple resolutions with real-time customization of graphical views.
  • Biologically sensitive queries: Supports biologically sensible query operations to extract meaningful patterns from raw omics data.
  • Direct visualization customization: Allows real-time adjustments and customizations of visual representations for focused data inspection.
  • Systems-level data exploration: Designed to handle large-scale, high-throughput omics datasets for comprehensive examination beyond conventional post hoc visualization.

Scientific Applications:

  • Systems biology analyses: Supports exploration and interpretation of system-level behaviors in omics datasets.
  • Discovery of hidden patterns in omics data: Facilitates identification of novel biological insights and patterns not apparent from standard statistical filtering of quantitative expression data.

Methodology:

Integrates interactive visualization with biologically relevant querying capabilities to enable holistic examination of large-scale omics and quantitative expression datasets.

Topics

Details

License:
BSD-2-Clause
Maturity:
Mature
Cost:
Free of charge
Tool Type:
desktop application, web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java, Python
Added:
7/6/2019
Last Updated:
11/24/2024

Operations

Publications

Ghosh S, Datta A, Tan K, Choi H. SLIDE – a web-based tool for interactive visualization of large-scale – omics data. Bioinformatics. 2018;35(2):346-348. doi:10.1093/bioinformatics/bty534. PMID:29955804. PMCID:PMC6330001.

PMID: 29955804
PMCID: PMC6330001
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

Documentation

Links