title: ViVar: a comprehensive platform for the analysis and visualization of structural genomic variation.
abstract: Structural genomic variations play an important role in human disease and phenotypic diversity. With the rise of high-throughput sequencing tools, mate-pair/paired-end/single-read sequencing has become an important technique for the detection and exploration of structural variation. Several analysis tools exist to handle different parts and aspects of such sequencing based structural variation analyses pipelines. A comprehensive analysis platform to handle all steps, from processing the sequencing data, to the discovery and visualization of structural variants, is missing. The ViVar platform is built to handle the discovery of structural variants, from Depth Of Coverage analysis, aberrant read pair clustering to split read analysis. ViVar provides you with powerful visualization options, enables easy reporting of results and better usability and data management. The platform facilitates the processing, analysis and visualization, of structural variation based on massive parallel sequencing data, enabling the rapid identification of disease loci or genes. ViVar allows you to scale your analysis with your work load over multiple (cloud) servers, has user access control to keep your data safe and is easy expandable as analysis techniques advance. URL: https://www.cmgg.be/vivar/
authors.affiliation: Center for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
authors.forename: Tom
authors.initials: T
authors.lastname: Sante
authors.affiliation: Center for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
authors.forename: Sarah
authors.initials: S
authors.lastname: Vergult
authors.affiliation: Center for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
authors.forename: Pieter-Jan
authors.initials: PJ
authors.lastname: Volders
authors.affiliation: Department of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
authors.forename: Wigard P
authors.initials: WP
authors.lastname: Kloosterman
authors.affiliation: BioBix, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium.
authors.forename: Geert
authors.initials: G
authors.lastname: Trooskens
authors.affiliation: Center for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
authors.forename: Katleen
authors.initials: K
authors.lastname: De Preter
authors.affiliation: Center for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
authors.forename: Annelies
authors.initials: A
authors.lastname: Dheedene
authors.affiliation: Center for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
authors.forename: Frank
authors.initials: F
authors.lastname: Speleman
authors.affiliation: BioBix, Faculty of Bioscience Engineering, Ghent University, Gent, Belgium.
authors.forename: Tim
authors.initials: T
authors.lastname: De Meyer
authors.affiliation: Center for Medical Genetics, Faculty of Medicine and Health Sciences, Ghent University, Gent, Belgium.
authors.forename: Björn
authors.initials: B
authors.lastname: Menten
mesh_terms: D019295:Computational Biology / Q000379:methods*; D015894:Genome, Human; D056914:Genomic Structural Variation; D006801:Humans; D020407:Internet; D059785:Karyotype