Tag Archives: SVS

SVS 8.8.3 Release

      Cody Sarrazin    November 26, 2018    2 Comments on SVS 8.8.3 Release
gene ranking

The SVS 8.8.3 release was created to incorporate some of the CNV, genome assembly control, and splice site capabilities that are present in VarSeq, as well as clean up and streamline the GWAS workflows (like when using Mixed Linear Model algorithms) for a better user experience. New Product Add-Ons for SVS GoldenHelix SVS now includes in-silico splice site, functional prediction… Read more »

GWAS Quality Control Within SVS

      Eli Sward    August 23, 2018    No Comments on GWAS Quality Control Within SVS
SVS 8

Genome-wide association studies (GWAS) are useful in genetics as they test for the association of a phenotype with common genetic variants. GWAS is “hypothesis-free” and does not require prior knowledge of a gene’s biological impact on a trait. The catch though is that this leads to analyzing hundreds to thousands of genome-wide array samples to elucidate single nucleotide polymorphisms (SNPs) associated with a specific phenotype.

Third-Place Abstract Competition Winner

I would like to congratulate our third and final winner of the 2017-18 Abstract Competition, Suxu Tan, a current PhD Student at Auburn University. Our first and second place winners, Michael Iacocca and Nicole Weaver, performed their research using VarSeq. Suxu, however, used SVS to conduct the research in his paper ‘GWAS analysis of QTL for resistance against Edwardsiella ictaluri in… Read more »

Genomic Prediction Methods in SVS Q&A

VS-CNV Annotations

Yesterday’s webcast, Genomic Prediction Methods in SVS, gave attendees a chance to see how the principles of genomic prediction are applied within SVS, predicting phenotypes for both plant and animal species. You can find a recording of the webcast on our site here should you be interested in checking it out or sharing with a colleague! The webcast garnered a… Read more »