Yesterday’s webcast, Genomic Prediction Methods in SVS, gave attendees a chance to see how the principles of genomic prediction are applied within SVS, predicting phenotypes for both plant and animal species. You can find a recording of the webcast on our site here should you be interested in checking it out or sharing with a colleague! The webcast garnered a… Read more »
This month we hosted two, incredible webcasts officially announcing the latest CNV annotation capabilities our Software Engineering Team has been hard at work on for the past couple of months. Our first webcast, Comprehensive Clinical Workflows for Copy Number Variants in VarSeq, was presented by Golden Helix’s VP of Product & Engineering, Gabe Rudy, who reviewed the expanded capabilities of… Read more »
Gabe Rudy gave a fantastic presentation yesterday on the latest additions to VS-CNV annotations. If you weren’t able to join us for the live event, you can access the recording and webcast slides here: Comprehensive Clinical Workflows for Copy Number Variants in VarSeq. Additionally, there were many great questions asked that we wanted to share with the community. Question: Can I… Read more »
In case you missed our live event yesterday, I wanted to share a link to the webcast recording: New Enhancements: GWAS Workflows with SVS. There were several questions asked, so we’ve also shared the Q & A session below! Question: Are these enhancements priced as a separate feature? Answer: No, SVS is a constantly evolving platform, so everything you see in this webcast is… Read more »
Yesterday’s monthly webcast featured our end-to-end solution for clinical labs. In case you missed it, you can watch the webcast here! 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. Can you go over the requirements for the CNV algorithm in more detail? If you are… Read more »
Yesterday we had an excellent webcast presentation featuring Sentieon’s Dr. Donald Freed. Golden Helix recently partnered with Sentieon to integrate their secondary analysis tools into our software stack, and this presentation is an introduction to their genomic tools. Please check the webcast out here if you missed it! There were a number of questions asked in the live event, so in… Read more »
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 »
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 »
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 »
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 »
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 »
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 info@goldenhelix.com. Question: Should… Read more »
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 »
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 »
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.
“Who has ever had a bad experience with a VCF file?” I like to ask that question to the audience when I present data analysis workshops for Golden Helix. The question invariably draws laughter as many people raise their hands in the affirmative. It seems that just about everybody who has ever worked VCF files has encountered some sort of… Read more »
I recently gave a webcast on GWAS in a model organism: Arabidopsis thaliana; a question was brought up about the differences between EMMA and EMMAX and why the results with each would differ.
