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- person_outline Wang Y.P.
- person_outline CNVer Team
Publication for CNVer
Paternal Age Explains a Major Portion of De Novo Germline Mutation Rate Variability in Healthy Individuals
[…] In order to achieve high-confidence structural variants calls for our samples, two different algorithms were used. The first one, CNVer v0.8.1, uses information from the paired-end mappings and from the depth of coverage in a given region to call CNVs (insertions and deletions). Prior to the mapping, the FastqMcf v1.1.2 (https […]
Detection of Genomic Structural Variants from Next Generation Sequencing Data
[…] of SVs have been reported.Combining RC for the detection of large events and RP for accurate identification of breakpoints can reduce the number of false positive calls [SVDetect (Zeitouni et al., ), CNVer (Medvedev et al., ), GASVPro (Sindi et al., ), and inGAP-sv (Qi and Zhao, )]. Genome STRiP (Handsaker et al., ) exploits RP, RC, SR, and population-scale patterns to detect genome structural pol […]
Comparison of Sequencing Based CNV Discovery Methods Using Monozygotic Twin Quartets
[…] Four CNV-calling tools have been selected for comparison (CNVer, BreakDancer, CNVnator and ERDS) (). The selection of these tools was based on the differences in their underlying algorithmic approaches. At least one algorithm of each of the main categories w […]
Computational tools for copy number variation (CNV) detection using next generation sequencing data: features and perspectives
[…] to increase the performance in detecting CNVs and reduce false positive discoveries.Five tools in Table are able to use PEM and RD information to identify CNVs in populations, including SVDetect , CNVer , Genome STRiP , GASVPro , and inGAP-sv . As aforementioned, combinatorial methods can take advantage of the uniqueness of multiple tools and, thus, can reduce more false positives than […]
Next Generation Sequence Analysis and Computational Genomics Using Graphical Pipeline Workflows
[…] cking , we have implemented some workflows, as a first wave of a more comprehensive set of tools. Among the many different approaches to call CNVs, we have chosen the three approaches described in .CNVer relies both on read depth and read pair information  in a computational framework called the donor graph, that reduces the sequencing biases causing uneven local coverage (). The most interest […]
A Hidden Markov Model for Copy Number Variant prediction from whole genome resequencing data
[…] advantage of multiple discordant mate pairs that deviate from mean distance values consistently but less significantly than the threshold.Medvedev et al 2010  presented a donor graph- based method (CNVer) to infer CNVs using both mate-pair and depth-of-coverage information. The advantage of CNVer is that by using mate pair discordant and depth-of-coverage information jointly, it has better accur […]
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