AVIA
AVIA annotates and visualizes genomic variants to connect cell-specific transcripts and protein-level functional annotations with gene-, variant-, and sample-level reporting for disease-relevant variant interpretation.
Key Features:
- Enhanced Annotation Capabilities: Annotates coding and non-coding variants with cell-specific transcripts and protein-level functional information.
- Interactive Visualization and Filtering: Provides interactive charts and visualizations that enable advanced filtering and exploration of variant data.
- Multi-source Integration and Comparative Analysis: Integrates disease-relevant data sources and supports comparative analyses across samples and against TCGA and ClinVar.
- Reporting and Literature Linking: Generates gene-, variant-, and sample-level reports and links impacted genes to literature and functional correlations.
- Data Management and Reannotation: Supports dataset organization, reannotation, management, and cohort building.
Scientific Applications:
- Cancer genomics and variant interpretation: Linking genomic variants to TCGA, ClinVar, and other disease-relevant data to inform cancer-related analyses.
- Functional impact assessment: Assessing protein-level and transcript-specific consequences of coding and non-coding mutations.
- Cohort and comparative studies: Enabling sample-level comparisons, cohort construction, and cross-sample analyses.
Methodology:
Uses advanced bioinformatics algorithms to annotate variants with cell-specific transcripts and protein-level functional information, integrates multiple disease-relevant data sources including TCGA and ClinVar, and provides interactive visualizations and filtering for gene-, variant-, and sample-level reporting and comparative analyses.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/24/2024
Operations
Publications
Vuong H, Che A, Ravichandran S, Luke BT, Collins JR, Mudunuri US. AVIA v2.0: annotation, visualization and impact analysis of genomic variants and genes. Bioinformatics. 2015;31(16):2748-2750. doi:10.1093/bioinformatics/btv200. PMID:25861966. PMCID:PMC4528632.
Reardon HV, Che A, Luke BT, Ravichandran S, Collins JR, Mudunuri US. AVIA 3.0: interactive portal for genomic variant and sample level analysis. Bioinformatics. 2020;37(16):2467-2469. doi:10.1093/bioinformatics/btaa994. PMID:33289511. PMCID:PMC8388034.