ADAS-viewer
ADAS-viewer visualizes and integrates genomic, transcriptomic, methylation, and miRNA data across seven brain regions to interrogate alternative splicing, transcript- and exon-level changes, and genetic and epigenetic regulatory effects in Alzheimer's disease.
Key Features:
- Multi-Omics Data Integration: Consolidates genomic, transcriptomic, methylation, and miRNA datasets from seven brain regions: cerebellum, temporal cortex, dorsolateral prefrontal cortex, frontal pole, inferior frontal gyrus, parahippocampal gyrus, and superior temporal gyrus.
- Cross-Cohort Analysis: Incorporates data from three independent cohort datasets to enable cross-study comparisons.
- Alternative Splicing Investigation: Identifies functional changes at transcript and exon levels with a focus on alternative splicing events.
- Regulatory Effects Analysis: Assesses genetic and epigenetic regulatory mechanisms associated with observed molecular changes.
- Visualization Capabilities: Produces visual representations of integrated multi-omics results across brain regions to facilitate pattern recognition and candidate biomarker identification.
Scientific Applications:
- Biomarker discovery: Identify potential biomarkers for early diagnosis or progression monitoring of Alzheimer's disease using integrated multi-omics signals.
- Regional molecular characterization: Investigate region-specific molecular alterations that may contribute to heterogeneity in AD pathology.
- Regulatory interplay analysis: Explore interactions among genetic, epigenetic, and transcriptomic factors in the context of neurodegeneration.
Methodology:
Computational methods explicitly include data normalization, data integration, and visualization algorithms applied to multi-omics datasets.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- JavaScript, Java, R
- Added:
- 6/14/2021
- Last Updated:
- 8/9/2021
Operations
Publications
Han S, Shin J, Jung H, Ryu J, Minassie H, Nho K, Koh I, Lee Y. ADAS-viewer: web-based application for integrative analysis of multi-omics data in Alzheimer’s disease. npj Systems Biology and Applications. 2021;7(1). doi:10.1038/s41540-021-00177-7. PMID:33741983. PMCID:PMC7979890.
Documentation
Links
Repository
https://github.com/younghee93/ADASIssue tracker
https://github.com/younghee93/ADAS/issues