aRgus
aRgus provides extraction, visualization, and interpretation of genetic variant data with emphasis on non-synonymous single nucleotide variants (nsSNVs) using integrated data from ClinVar and gnomAD.
Key Features:
- Multilevel Visualization: Visualizes chromosomal exon–intron structures, protein domain annotations, and variant distributions from ClinVar and gnomAD to present genomic and proteomic context.
- Position-specific Pathogenicity Modeling: Implements position-specific variant effect prediction score modeling to assess pathogenic potential of nsSNVs at single amino acid resolution.
- Data Integration: Aggregates genetic, protein, functional, and conservation data from multiple databases to support variant evaluation.
Scientific Applications:
- Variant Interpretation: Supports interpretation of variant significance by combining distribution data and predicted effects on protein function.
- Protein Domain Analysis: Identifies regions within proteins that are susceptible to variation by mapping variants onto domain annotations.
- Experimental Design Support: Informs selection of critical protein regions and candidate variants for targeted in vitro studies.
Methodology:
Extraction and integration of variant data from databases including ClinVar and gnomAD; visualization of chromosomal exon–intron structures and protein domain annotations with mapped variant distributions; and position-specific variant effect prediction score modeling at single amino acid resolution using aggregated genetic, protein, functional, and conservation data.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- library, web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 3/29/2023
- Last Updated:
- 3/29/2023
Operations
Data Inputs & Outputs
Parsing
Inputs
Outputs
Publications
Schröter J, Dattner T, Hüllein J, Jayme A, Heuveline V, Hoffmann GF, Kölker S, Lenz D, Opladen T, Popp B, Schaaf CP, Staufner C, Syrbe S, Uhrig S, Hübschmann D, Brennenstuhl H. aRgus: Multilevel visualization of non-synonymous single nucleotide variants & advanced pathogenicity score modeling for genetic vulnerability assessment. Computational and Structural Biotechnology Journal. 2023;21:1077-1083. doi:10.1016/j.csbj.2023.01.027. PMID:36789265. PMCID:PMC9900257.
Downloads
- Container filehttps://hub.docker.com/r/hej3042/argus