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.
Documentation
Links
Repository
https://github.com/atlasxomics