Recently, Golden Helix, Inc. announced the addition of VSPipeline to our VarSeq software suite. VSPipeline is a command-line interface that will allow high throughput environments the ability to tap the full power of VarSeq’s algorithms and flexible project template system from any command line context, including existing bioinformatics pipeline. So, what is the big deal? Here are the top five… Read more »
One of the lesser known functions in SVS allows the user to create Venn diagrams comparing variants found in multiple spreadsheets. These different spreadsheets could come from individuals samples, a case vs. control group or several variant databases. It is a helpful tool for visually comparing different variants. Start by creating spreadsheets for each group/samples you’d like to compare. The… Read more »
This last week I had the pleasure of attending the fourth annual Clinical Genome Conference (TCGC) in Japantown, San Francisco and kicking off the conference by teaching a short course on Personal Genomics Variant Analysis and Interpretation. Some highlights of the conference from my perspective: Talking about clinical genomics is no longer a wonder-fest of individual case studies, but a… Read more »
Golden Helix recently announced the addition of VSPipeline to our VarSeq software. VSPipeline is a command-line interface that will allow high throughput environments the ability to tap the full power of VarSeq’s algorithms and flexible project template system from any command line context, including existing bioinformatics pipeline. VSPipeline supports the need to efficiently generate VarSeq projects from workflow-encoding project templates…. Read more »
Just a few weeks ago we announced our partnership with MedGenome. The news was covered by a number of outlets including: Financial Express Pharmabiz Let me expIain the importance and impact of this announcement. Since Varseq was released, we have received strong interest from testing labs that are leveraging our product to implement cancer diagnostic pipelines. Please feel free to take… 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 »
Yes, I said it. “Them be fighting words” you may say. Well, it’s worth putting a stake in the ground when you have worked hard to have a claim worth staking. We have explored the landscape, surveyed the ravines and dangerous cliffs, laboriously removed the boulders and even dynamited a few tree stumps. Stake planted. Ok, so now I’m going… Read more »
There are many approaches that one might use to define a variant as potentially deleterious. For example, we often see analysis workflows based on rare, non-synonymous variants, perhaps incorporating additional annotation sources that capture known or predicted consequences of coding variants. Annotations for coding regions of the genome are relatively abundant and familiar to genome scientists. We are comfortable in… Read more »
There’s a strong desire in the genetics community for a set of canonical transcripts. It’s a completely understandable and reasonable thing to want since it would simplify many aspects of analysis and especially the downstream communicating and reporting of variants. Unfortunately, biology isn’t so tidy as to provide a clear answer for which transcript is the important one. Consequently, there… 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 [email protected]. Question: Should… Read more »
As VarSeq has been evaluated and chosen by more and more clinical labs, I have come to respect how unique each lab’s analytical use cases are. Different labs may specialize in cancer therapy management, specific hereditary disorders, focused gene panels or whole exomes. Some may expect to spend just minutes validating the analytics and the presence or absence of well-characterized… Read more »
Over the last year our blog has seen a boom in visits and of course, I became curious. What brings people to “Our 2 SNPs…”? So, I decided to take a look at the blog posts that our community find the most intriguing. Here are my findings: Comparing BEAGLE, IMPUTE2, and Minimac Imputation Methods for Accuracy, Computation Time, and Memory… Read more »
Last week we conducted a webcast on “Cancer Gene Panels”; you can find the recording here. We had some excellent questions which we answered during the webcast and a few more that we didn’t get to in the allotted time. Please find answers to those questions here: 1. Are Cancer Gene Panels just another stepping stone on the way to… Read more »
I am constantly on the lookout for fun or interesting datasets to analyze in SVS or VarSeq and recently came across a study looking into inherited cardiac conduction disease in an extended family (Lai et al. 2013). The researchers sequenced the exomes from five family members including three affected siblings and their unaffected mother and an unaffected child of one… Read more »
I spent a very eventful week at the Molecular TriCon in downtown San Francisco, and have been pondering the very clear trends that emerged by attending the clinical and NGS focused talks. Cancer gene panels make sense economically and as “massively parallel” tests to inform therapy, but they are bound to get more complex. Liquid biopsies of circulating tumor DNA… 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 »
In just 5 days, the 22nd International Molecular Medicine Tri-Conference (Tri-Con) will kick off in San Francisco. This year, Tri-Con will offer over 3,000 attendees 6 symposia, over 20 short courses, and 17 conference programs focused on drug discovery, genomics, diagnostics, and information technology surrounding, molecular medicine. Both Dr. Andreas Scherer, CEO of Golden Helix and Gabe Rudy, our Vice President of… 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.
If you haven’t been closely watching the twittersphere or other headline sources of the genetics community, you may have missed the recent chatter about the whole genome sequencing of 17 supercentenarians (people who live beyond 110 years). While genetics only explains 20-30% of the longevity of those with average life-spans, it turns out there is a number of good reasons… Read more »
If you’ve seen the recent webinars given by Gabe Rudy and Bryce Christensen, you’ve no doubt been impressed by the capabilities of VarSeq when it comes to annotation and filtering. However, we sometimes forget that the power that enables all this complex analysis can also be used in more mundane tasks like VCF subsetting. And although these day-to-day tasks don’t… Read more »
