2014
DOI: 10.1371/journal.pone.0113800
|View full text |Cite
|
Sign up to set email alerts
|

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… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
32
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
5
2
1

Relationship

5
3

Authors

Journals

citations
Cited by 52 publications
(32 citation statements)
references
References 29 publications
0
32
0
Order By: Relevance
“…With these values, a Z‐score (standard score) for each chromosome in each sample could be calculated. QDNAseq values were imported and processed in Vivar . Aberrant results (for all chromosomes) were manually checked on a comprehensive chromosome profile by Wisecondor and Vivar to exclude large (maternal) segmental aberrations.…”
Section: Methodsmentioning
confidence: 99%
“…With these values, a Z‐score (standard score) for each chromosome in each sample could be calculated. QDNAseq values were imported and processed in Vivar . Aberrant results (for all chromosomes) were manually checked on a comprehensive chromosome profile by Wisecondor and Vivar to exclude large (maternal) segmental aberrations.…”
Section: Methodsmentioning
confidence: 99%
“…We organized the displaying methods into ten major categories (Table 1; Fig. 1), namely, linear genome browser, Fastbreak [30], Gremlin [51], ViVar [52] Two-way view --…”
Section: View Modules For Visualizing Svmentioning
confidence: 99%
“…Segmentation is achieved using the circular binary segmentation algorithm in the DNACopy R package. Visual inspection and creation of the copy number profile plots is performed with 'Vivar' (26). All raw array CGH data files are made publically available through the Gene Expression Omnibus (GEO) website using the accession number GSE85444.…”
Section: Array Cghmentioning
confidence: 99%