AtlasXploreTM

AtlasXploreTM visualizes and facilitates analysis of spatial epigenome datasets to investigate regulatory mechanisms in solid tissue sections.


Key Features:

  • Raw data processing tools: Integration of computational tools for processing raw spatial epigenome data into analyzable formats.
  • Visualization generation: Production of interactive visualizations derived from processed spatial epigenome data.
  • Dataset repository and scalability: Support for an expanding collection of spatial epigenome datasets with capability to handle large datasets.

Scientific Applications:

  • Regulatory mechanism analysis: Elucidation of regulatory mechanisms governing gene expression within solid tissues.
  • Spatial epigenomic relationships: Visualization of spatial relationships between epigenomic features to investigate contributions to cellular function and tissue organization.
  • Large-scale biological studies: Analysis of complex biological systems using large spatial epigenome datasets.

Methodology:

Integration of computational tools that process raw spatial epigenome data and transform them into interactive visualizations.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python, R
Added:
10/17/2023
Last Updated:
11/24/2024

Operations

Publications

Barnett J, Sotudeh N, Rao P, Silverman J, Jafar T, Wang L. AtlasXplore: a web platform for visualizing and sharing spatial epigenome data. Bioinformatics. 2023;39(8). doi:10.1093/bioinformatics/btad447. PMID:37478350. PMCID:PMC10394123.

PMID: 37478350
Funding: - NIH SBIR: 1R43HG012526-01

Documentation

Links