RareVariantVis: new tool for visualization of causative variants in rare monogenic disorders using whole genome sequencing data
Author(s) -
Tomasz Stokowy,
Mateusz Garbulowski,
Torunn Fiskerstrand,
Rita Holdhus,
Kornel Labun,
Paweł Sztromwasser,
Christian Gilissen,
Alexander Hoischen,
Gunnar Houge,
Kjell Petersen,
Inge Jonassen,
Vidar M. Steen
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw359
Subject(s) - dbsnp , whole genome sequencing , genome , genome browser , reference genome , biology , genetics , bioconductor , visualization , computational biology , indel , cancer genome sequencing , genomics , computer science , gene , data mining , single nucleotide polymorphism , genotype
The search for causative genetic variants in rare diseases of presumed monogenic inheritance has been boosted by the implementation of whole exome (WES) and whole genome (WGS) sequencing. In many cases, WGS seems to be superior to WES, but the analysis and visualization of the vast amounts of data is demanding.
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