Author Archives: Darby Kammeraad

Darby Kammeraad

About Darby Kammeraad

Darby Kammeraad is the Field Application Scientist Manager at Golden Helix, joining the team in April of 2017. Darby graduated in 2016 with a master’s degree in Plant Sciences from Montana State University, where he also received his bachelor’s degree in Plant Biotechnology. Darby works on customer support and training. When not in the office, Darby is learning how to play guitar, hunting, fishing, snowboarding, traveling or working on a new recipe in the kitchen.

Automating & Standardizing Your NGS Workflow

As our regular customers may know, we write our blogs to provide relevant content to any NGS-based analysis with VarSeq. Our goal here at Golden Helix is to provide top quality software and guidance on how to use the software efficiently to perform variant analysis. However, this blog series will take a more general perspective and supply some insight into… Read more »

Variant Interpretation with VSClinical: Clinical Example for Congenital Indifference to Pain

VSClinical provides a rapid-fire way to investigate any variant’s impact by following the ACMG Guidelines process for classification. We will be demonstrating this by looking at interesting examples of rare disorders and showcasing some evaluation steps users may deploy in their analysis. Our first example in this blog series is for a patient who has an indifference to pain, while… Read more »

How To: VarSeq VCF Import

      Darby Kammeraad    February 5, 2019    No Comments on How To: VarSeq VCF Import
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The Beginning of Your Tertiary Analysis VarSeq is designed to be your NGS tertiary analysis solution providing users simple but in-depth means of exploring gene panel, exome, and whole genome variants. For those not accustomed to the VarSeq software, the main import file for variant analysis is the VCF. Those who are familiar with the VCF know that there can… Read more »

Top-Quality GWAS Analysis: Part IV

Population Stratification This article is going to cover how to factor for population stratification in your association test to continue our blog series on top quality GWAS analysis (additional articles for this series are located at the bottom of this blog). Quality control steps up to this point have included assessing sample and marker statistics, LD pruning on markers, and… Read more »

Top-Quality GWAS Analysis: Part II

Eliminate Low-Quality Samples and Markers In Part I of this GWAS Analysis series, Dr. Eli Sward provided us with a great overview on the value SVS provides in managing the quality of your SNP or NGS data to maintain the high power and accuracy of your GWAS. He also gave a snapshot of what a typical genotype spreadsheet may look… Read more »