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.

Documentation

Downloads