RareVariantVis
RareVariantVis visualizes and annotates rare genomic variants from whole genome sequencing (WGS) data to support identification and interpretation of coding and non-coding variants relevant to monogenic rare diseases.
Key Features:
- Comprehensive visualization: Visual representation of variants along chromosomes including chromosomal position, zygosity, and allele frequency.
- Variant flagging: Distinct flagging of rare variants and de novo variants for genome-wide and per-chromosome inspection.
- Annotation: Annotation of variants with dbSNP identifiers, gene associations, and recorded inheritance patterns.
- Support for variant types: Analysis of both germ line and somatic variants from WGS data.
- Coding and non-coding region analysis: Inclusion of variants from coding and non-coding regions to aid detection of disease-relevant non-coding variation.
- Scalability and organization: Designed to handle large WGS datasets with global and per-chromosome organization of variant data.
Scientific Applications:
- Rare disease genetics: Identification and prioritization of candidate causative variants in monogenic rare disease studies using WGS.
- De novo variant discovery: Detection and characterization of de novo variants relevant to inherited and sporadic genetic disorders.
- Cancer genomics: Analysis of somatic variant landscapes alongside germ line variation in cancer studies.
- Non-coding variant interpretation: Exploration of non-coding regions from WGS to identify potential regulatory or pathogenic variants.
Methodology:
Annotating, filtering, and presenting genomic variants with data organized globally and per chromosome; performance demonstrated using the Genome in a Bottle WGS dataset.
Topics
Collections
Details
- License:
- Artistic-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Genetic variation analysis
Publications
Stokowy T, Garbulowski M, Fiskerstrand T, Holdhus R, Labun K, Sztromwasser P, Gilissen C, Hoischen A, Houge G, Petersen K, Jonassen I, Steen VM. RareVariantVis: new tool for visualization of causative variants in rare monogenic disorders using whole genome sequencing data. Bioinformatics. 2016;32(19):3018-3020. doi:10.1093/bioinformatics/btw359. PMID:27288501.