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.
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 »
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 »
This week we’re featuring several VarSeq bundles that are part of our end of year pricing specials! VarSeq CNV PowerPack – $15,995 We’ve made tremendous progress integrating CNV analytics capabilities into VarSeq this year. The PowerPack bundle is a great solution for those who are interested in combining SNV and CNV analysis. SVS-VarSeq Bundle – $7,995 If you’re a researcher or… Read more »