Tag Archives: Golden Helix

Top-Quality GWAS Analysis: Part I

      Eli Sward    January 16, 2019    No Comments on Top-Quality GWAS Analysis: Part I

Importance of Quality in Association Tests SVS is a research application platform provided by Golden Helix that enables an array of computational analyses including genome-wide association studies (GWAS). GWAS is an observational study that can provide insight into the association of genetic variants with traits and complex disorders. The foundation of GWAS utilizes large cohorts sequenced with single nucleotide polymorphisms… Read more »

New COSMIC Database for NGS Cancer Analyses – Q&A

We had a great time showing users the new COSMIC database for future NGS cancer analyses within VarSeq. If you didn’t get a chance to join us for this live webcast, you can watch the recording above. I have summarized our live Q&A session for anyone who is curious what others were asking. 1.    The cosmic track is free, what… Read more »

Secondary Analysis 3.0 – New Version Release

We have released a new version of my eBook, “Secondary Analysis 3.0”. To download a complimentary copy, I encourage you to do so here. Next-Generation Sequencing (NGS) promises to be the ultimate paradigm when it comes to genetic research and clinical testing since it contains the complete genetic information. When it comes to the current reality in testing labs, there… Read more »

What to expect from Golden Helix in 2019!

Happy New Year. I trust you had a relaxing time over the holidays with family and friends as well as a great start into 2019. Golden Helix certainly had a landmark year. There were many highlights that actually shaped the direction for us in the years to come. Please let me mention a few: We launched VSClinical in May 2018:… Read more »

Considerations When Calling CNVs on Shallow Whole Genomes

CNV Annotations

We are happy to announce that our latest version of SVS includes the ability to call CNVs on low read depth Whole Genome Sequencing (WGS) data. Designed for calling large cytogenetic events, this algorithm can detect chromosomal aneuploidy events and other large events spanning one or more bands of a chromosome from genomes with average coverage as low as 0.05x…. Read more »