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Altmetric score 0  +
Application score 90  +
Bioinformatics method Annotation + , Genome visualisation + , SNP calling +
Biological domain Personalised medicine + , Genomics + , Sequence analysis + , Genetic variation +
Created by Dongliang Ge & David Goldstein  +
Input format SAMtools + , HMMCNV +
Institute Duke University  +
Language Java  +
Maintained Yes  +
Number of citations 0  +
Number of references 0  +
Operating system Linux 64  +
Output format Sva +
PM page counter 4,041  +
PM page last editor LuisPedroCoelho  +
PM page size 3,662  +
Software feature Variant annotation and analysis  +
Software summary DNA sequence information underpins genetic DNA sequence information underpins genetic research, enabling discoversies of important biological or medical benefit. Compared with previous discovery strategies, a whole-genome sequencing study is no longer constrained by differing patterns of linkage disequilibrium, thus, in theory, is more possible to directly identify the gentic variants contributing to biological traits or medical outcomes. The rapidly evolving high-throughput DNA sequencing technologies have now allowed the fast generation of large amount of sequence data for the purpose of performing such whole-genome sequencing studies, at a reasonable cost. SequenceVariantAnalyzer, or SVA, is a software tool that we have been developing to analyze the genetic variants identified from such studies. URL: h studies. URL:
Categories Missing email  + , Bioinformatics application  +
Modification dateThis property is a special property in this wiki. 19 December 2015 20:29:00  +
hide properties that link here 
SequenceVariantAnalyzer/URL 0 + URL describes


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