Tag Archives: GWAS

Try out SVS for Free!!

      Delaina Hawkins    November 10, 2015    No Comments on Try out SVS for Free!!
SVS 8

Give our SVS viewer a try today! Interested in seeing what the SNP & Variation Suite (SVS) software can do? Download the free SVS Viewer! With the SVS Viewer, you can explore and interact with the workflows of a pre-built projects. To get you started, we have included a SNP GWAS project for you to download. And don’t worry, it is… Read more »

The 10th Anniversary of GWAS

      Golden Helix    July 30, 2015    No Comments on The 10th Anniversary of GWAS
10th Anniversary of GWAS

GWAS became possible about 10 years ago as the result of several scientific advances. Since then, GWAS has continually developed as a primary method for identification of disease susceptibility genes in humans and other organisms. At Golden Helix we are proud of our history in supporting GWAS analysis from its inception. Our software was used to analyze whole-genome data from… Read more »

Using GWAS to Improve the Economics of the Aquaculture Industry

Recently, customer Xin Geng of Auburn University published a paper using SVS, and we wanted to share his story with you. Please feel free to contact us if you have questions or if you would like to learn more about SVS at info@goldenhelix.com. For PhD graduate student Xin Geng, conducting Genome Wide Association Study (GWAS) to uncover the quantitative trait… Read more »

To Impute, or not to Impute

      Golden Helix    February 5, 2015    No Comments on To Impute, or not to Impute

Genotype imputation is a statistical technique for estimating sample genotypes at loci that were not directly assayed by sequencing or microarray experiments.  There are several reasons why you might want to use imputation in a research study.  For example: Improve call rates in GWAS by imputing sporadic missing genotypes Harmonize the data content from different GWAS genotyping platforms so that… Read more »

What to expect from Golden Helix in 2015

There is a lot we can be grateful for at Golden Helix. The past year was marked by two major breakthrough launches. Earlier in 2014, we shipped SVS 8 which unified SVS with our GenomeBrowse product. We were able to improve SVS’ data management and visualization capabilities. In addition we added a number of new methods in SVS, such as SKAT-O, MM-KBAC, and various genomic prediction algorithms.