Thank you to all our viewers who attended our webcast last week on VarSeq 2.5.0: VSClinical AMP Workflow from the User Perspective. If you did not get a chance to attend but would still like to see the new upgrades to VarSeq 2.5.0, please visit our website here. Overall, this webcast highlighted the versatility of VarSeq, demonstrating both a Tumor-Normal… Read more »
In the rapidly evolving field of genetic research, VarSeq software by Golden Helix stands out as a powerful tool for genetic analysis and interpretation. This is exemplified in two significant customer publications that demonstrate the versatility and impact of VarSeq in advancing our understanding of complex genetic disorders. Characterization of Potential Melanoma Predisposition Genes in High-Risk Brazilian Patients Increased genetic… Read more »
I am very excited to announce that a new version of Golden Helix CancerKB has been released! This new version of CancerKB comes with some exciting upgrades bolstering the gene interpretations and cancer gene evidence. Before I jump into the details of the new information that is now in CancerKB, I want to give everyone a quick reminder of what… Read more »
The table is set, the football game is on in the background, and the family has gathered around the table when out of nowhere, your Cousin Eddie shows up for Thanksgiving dinner. While Cousin Eddie is known for eating anything, his allergies always get the best of him, ruining the evening. Thankfully, this year Cousin Eddie had recently gotten his… Read more »
With the release of VarSeq 2.5.0, Golden Helix customers can now perform an unprecedented number of workflows within a single software suite. Carrier status analysis, multi-sample clinical workflows, and a built-in oncogenicity scorer augment the already diverse and robust set of tools encompassed by VarSeq. In addition, we have continued to improve VarSeq’s ability to handle multiple data inputs, from… Read more »
As many of you may already know, we just released VarSeq version 2.5.0 this month! We have talked about the two headlining features a bunch, but we have not focused on what else has changed in VarSeq 2.5.0 that might also strike your fancy. For those of you who might just now be tuning into the hype around 2.5.0, it… Read more »
We’re buzzing with excitement and couldn’t wait to share some groundbreaking news with our community: VarSeq 2.5.0 has officially landed, and it’s here to transform your NGS lab experience! What’s New with VarSeq 2.5.0? VarSeq has always been about innovation and pushing the boundaries, and the 2.5.0 update is no exception. We’ve listened to your feedback and supercharged VarSeq with… Read more »
It may come as a surprise to our long-standing users that the multi-allelic import and representation in VarSeq is slated to have different import options with the 2.5.0 upgrade. As the software grows and evolves, we strive to meet the changing needs of our users, and this is one area where an update was sorely needed. Before going into an… Read more »
Calculating Residual Risk Residual risk is the risk remaining after a negative screening test. At the core of the calculation of residual risk resides Bayes’ Theorem. This theorem is used to calculate the probability of an outcome given the probability of events required for that outcome. The probability of the required events is compounded to calculate the combined probability of… Read more »
In the ever-evolving field of genetics, the quest to understand the intricate dance between genetic predispositions and disease manifestations continues to gain momentum. The three research papers presented here offer a glimpse into this complex interplay, each exploring the genetic underpinnings of distinct medical conditions across species. From the debilitating effects of acute retinal necrosis in humans to the life-threatening… Read more »
Last month, the researchers at Google DeepMind announced the release of AlphaMissense, a new missense prediction algorithm that leverages the protein structure prediction model AlphaFold to distinguish between benign and pathogenic missense variants (Cheng et al., 2023). AlphaFold is a model for the prediction of protein structures from amino acid sequences. During the development of AlphaMissense, the AlphaFold model was… Read more »
Explore the Newest Developments in Variant Classification and Interpretation Tools at Booth 506 at ASHG 2023 Join Golden Helix at the American Society of Human Genetics (ASHG) 2023 conference and delve into the latest advancements in genetic research. This esteemed event brings together distinguished researchers, clinicians, and industry frontrunners to exchange knowledge on the most recent insights in human genetics…. Read more »
As the global biotech community converges on Yokohama for BioJapan 2023, we are thrilled to announce that Golden Helix will be exhibiting at Booth D55. This premier event offers a unique opportunity for industry leaders, researchers, and professionals to come together, collaborate, and drive the future of biotechnology. And for us, it’s a chance to showcase how Golden Helix is… Read more »
Recent advancements in medical research have been pivotal in deepening our understanding of a variety of health conditions. The utilization of tools such as VarSeq in these studies allows for comprehensive genomic analyses, thereby ensuring more accurate diagnoses and facilitating the development of targeted treatments. This blog highlights three recent publications that have utilized VarSeq to unravel the mysteries of… Read more »
Recently, a Golden Helix customer reached out to support for advice on how to validate the variant scoring between two different VarSeq users. Here we break down one possible solution as an opportunity to showcase the utility of both the Latest Sample Assessment function and an alternative way to leverage the Compute Fields function. To set up this validation project,… Read more »
Pharmacogenomics Workflow: Identifying Biomarkers and Treatment Options BOZEMAN, Mont. – Sep. 26, 2023 – Golden Helix, Inc. announced that it was awarded the NIH SBIR Grant 1R43HG013456-01 “Pharmacogenomics Workflow: Identifying Biomarkers and Treatment Options.” Personalized medicine leveraging pharmacogenomics is gaining momentum to optimize drug choice, dosage, efficacy, and safety for individual patients. This grant allows Golden Helix to research pharmacogenetics… Read more »
Traditionally genetic tests in cancer have focused on small gene panels that restrict their analysis to a small number of well-studied cancer genes. However, as sequencing costs have decreased, many clinical laboratories have embraced comprehensive genomic profiling tests that rely on whole exome and whole genome next-generation sequencing (NGS) workflows, which can detect millions of high-quality variants for a single… Read more »
Golden Helix Inc. celebrates 25 years as a leader in the genomics landscape. Built on solid Montanan values of work ethic and reliability, our journey began with Dr. Christophe Lambert’s vision in 1998. Our early triumphs in Genome-Wide Association Studies set the stage, but 2013 brought a transformative shift. Under Dr. Andreas Scherer’s leadership, we ventured into the clinical arena… Read more »
Your variants of interest have been identified, the SVs annotated, and the CNVs classified. Once the manifest has been imported (and here is a great blog on the subject), the last step is to bring all of this information into a report template! In this blog, we will go over some simple report modifications and provide resources for more information… Read more »
Detecting CNVs from whole genome data has a number of advantages but also unique challenges. Whole genomes offer a comprehensive and uniform picture of the entire genome, allowing a user to capture CNVs at a higher resolution than with data sequenced at a lesser scale. It also allows for the detection of structural variation over non-coding regions and for a… Read more »