Category Archives: Customer Questions

CNV User Perspective Webcast Q&A

CNV User

Nathan Fortier’s webcast yesterday, CNV Analysis in VarSeq – A User’s Perspective, was an excellent demonstration of our CNV capabilites, so check it out here if you missed it. There were a number of questions asked in the live event, so in today’s blog post I wanted to recap the Q&A session. Question: Do the reference samples have to be from the… Read more »

Exporting Data From VarSeq to Excel

FAQ

True to its nature, VarSeq offers multiple data export options. You can export result tables from VarSeq to Text, VCF, a VarSeq annotation file and most importantly an XLSX (Excel) File. VarSeq’s Excel export options provide a lot of flexibility in the information that is exported and preserve the formatting of data during the export process from VarSeq to Excel. This… Read more »

Big Data Webcast Q&A

      Mary Makris    September 22, 2016    No Comments on Big Data Webcast Q&A
Big Data Q&A

Gabe Rudy’s webcast yesterday, Big Data at Golden Helix: Scaling to Meet the Demand of Clinical and Research Genomics, was a huge success with well over 300 registered. In today’s blog post, I wanted to recap the Q&A session with Gabe. If you missed the webcast, check it out! Question:  What is the end goal for an application like Warehouse? Answer:  The… Read more »

Quality Assurance: Is it a Boy or Girl?

A common question that comes through support is if there are options in SVS for doing gender inference or checks. There is indeed functionality in SVS for this QC check!  This function is under the Genotype Menu for Sample Statistics; there are a lot of great statistics available to check the quality of your data in SVS, but I’ll walk… Read more »

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 »