Category Archives: Customer Questions

Frequently Asked Questions about VarSeq

The support team at Golden Helix is always on-hand to help with your SVS and VarSeq needs. We get some questions more often than others, and this blog will answer some of the most common questions we’ve been seeing lately regarding VarSeq. A common question we receive is if data can be filtered from a locally kept set of variants… Read more »

VarSeq as a Clinical NGS Platform Q&A

CNV User

Our VarSeq as a Clinical Platform webcast last week highlighted some recent updates in VarSeq that support gene panel screenings and rare variant diagnostics. The webcast generated some good questions, and I wanted to share them with you. If the questions below spark new questions or need clarification, feel free to get in touch with us at Question: Should… Read more »

Q&A Surrounding Population-Based DNA Variant Analysis

Last month, Dr. Bryce Christensen presented Population-Based DNA Variant Analysis via webcast. The webcast reviewed the fundamentals of population-based variant analysis and demonstrated some of the tools available in SVS for analysis of both common and rare variants such as the SKAT-O method, as well as other functions for annotation, visualization, quality control and statistical analysis of DNA sequence variants. Here… Read more »

Q&A from our December Genomic Prediction webcast

Our Genomic Prediction webcast in December discussed using Bayes-C pi and Genomic Best Linear Unbiased Predictors (GBLUP) to predict phenotypic traits from genotypes in order to identify the plants or animals with the best breeding potential for desirable traits. The webcast generated a lot of good questions as our webcasts generally do. I decided to begin to share these Q&A… Read more »

SVS, Population Genetics, and 1000 Genomes Phase 3

One frequent question I hear from SVS customers is whether whole exome sequence data can be used for principal components analysis (PCA) and other applications in population genetics. The answer is, “yes, but you need to be cautious.” What does cautious mean? Let’s take a look at the 1000 Genomes project for some examples.