| 
    ||||||||||||
| 
         
          25 Jan 2012:: We now have a new download site: www.OmicsExpress.com
         
          25 May 2011:: SVA is published in Bioinformatics.
         
          21 Mar 2011:: SVA V1.10 is released: [1]Supports GRCh build 37/hg19; [2] Supports user annotation track in GFF3 or BED formats.
         
          9 Sep 2010:: The characterization of twenty sequenced human genomes. [Article]
         
          12 Jul 2010:: LabCorp Launches Interleukin 28B Polymorphism (IL28B) Genotype Test to Support Individualized Treatment Decisions for Patients with Hepatitis C Viral Infection.
         
          17 Jun 2010:: Causal variants for metachondromatosis are identified. [Article] [SVA screenshot] [GenomeWeb: The Daily Scan] 
          18 Mar 2010:: SVA 1.02[beta] is released.
         
          11 Mar 2010:: SVA 1.01[beta] is released with a command line tool.
         
          8 Mar 2010:: A lite evaluation edition is released for Windows. Play with it on your laptop!
         
          23 Jan 2010:: SVA 1.00[beta] is released.
         ![]()  | 
      
         Background DNA sequence information underpins genetic research, enabling discoveries of important biological or medical benefit ( Bentley et al. Nature 2008; 456:53-59 ). Compared with previous discovery strategies, a whole-genome sequencing study is no longer constrained by differing patterns of linkage disequilibrium ( Need and Goldstein, Trends in Genetics 2009;25(11):489-494 ), thus, in theory, is more possible to directly identify the genetic 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. S equence V ariant A nalyzer, or SVA , is a software tool that we have been developing to analyze the genetic variants identified from such studies. 
 SVA is designed for two specific aims: (1) To annotate the biological functions of the identified genetic variants, visualize and organize them; (2) To help find the genetic variants associated with or responsible for the biological traits or medical outcomes of interest. 
 SVA is: 
 
 
  | 
    |||||||||||
| 
         
          | Visits:    | 
      © 2011  | 
    ||||||||||||