Golden Helix’s solutions are leveraged in a wide variety of scientific fields. As always, we are thrilled to showcase some of the newly published articles written by our customers. Here are a few that utilized VarSeq’s powerful scalability analyzing whole exome sequencing data. WES can identify variations in the protein-coding region of any gene. Since most known mutations that cause… Read more »
One of the many tricks of encoding so much functionality into so little space in eukaryotic genomes is the ability to produce multiple distinct mRNAs (transcripts) from a single gene. While one transcript is often the dominant one for a given tissue or cell type, there are, of course, exceptions in the messy reality of biology. It doesn’t take many… Read more »
Next-gen sequencing (NGS) comprises many sophisticated steps that are often compressed into three major sections: library prep, sequencing, and data analysis. Obviously, the goal is to simplify each of these steps, but more often than not, there is a need for multiple tools to complete each one. Regarding the data analysis, Golden Helix seeks to provide simple yet comprehensive solutions… Read more »
VSPipeline is becoming a very popular tool among VarSeq users as it is essential for creating repeatable clinical workflows that can be executed in automated fashion. Since VSPipeline is a command-line tool, I think it would be helpful to discuss some of the best practices along with helpful tips for getting the most out of VSPipeline. Some of you may be less familiar with VSPipeline, so I want to cover how to set up the first run along with sharing the helpful tips as they arise. … Read more »
One of the inherent realities of next-generation sequencing is the ongoing updates to the human reference genome—one of the strongest recommendations to take the original sequencing data and remap to the latest genome assembly. However, there are several reasons why remapping may be impractical. So, an alternative solution is needed to convert the data running through an initial mapping to… Read more »
Thank you to those who attended our recent webcast, “PhoRank 2.0: Improved Phenotype-Based Gene Ranking in VarSeq”. For those who could not attend, you can find a link to the recording here. This webcast covered upcoming improvements to the PhoRank phenotype-based gene ranking algorithm based on literature published in the years since the algorithm’s development. The PhoRank Algorithm When performing… Read more »
A common feature request from Golden Helix customers is to curate and make available genome assemblies for different plant and animal species. These requests commonly come from SVS users as many research projects are being carried out, and having the genome assembly available for analysis is essential. That being said, Golden Helix has an SVS Tutorial available that walks users… Read more »
I learned about Batten disease from a childhood friend’s Facebook post. Over the course of a few months, her 8-year-old, Eva, the oldest of 4 daughters – Emily, Lucy, and Carly – was rapidly going blind. Baffled, doctors ran a genetic panel that returned a devastating result – the diagnosis of Juvenile Neuronal Ceroid Lipofuscinosis or Batten disease. A broad… Read more »
VSPipeline is a command-line interface that will provide 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 the existing bioinformatics pipeline. This feature is a great resource for analyzing large sample volumes as it automates importing and annotating your data, which can help streamline your analysis… Read more »
In this month’s customer publication blog, both of our flagship software platforms are shown hard at work to cover many scientific investigational topics. You will get a glimpse of how VSClinical can be used to dive deeper into a specific gene associated with breast cancer and how SVS is enabling scientific discoveries in Agrigenomics and human health and wellness. Read… Read more »
Thanks for checking out this blog on how to to get more out of your VarSeq projects! The best way to show off one of my favorite new features that have been incorporated into the latest VarSeq 2.2.3 release is with a scenario: You work in a lab that processes and analyzes multiple whole exome samples for copy number variations,… Read more »
Golden Helix has just released VarSeq v2.2.3. In this update, there are notable changes that can improve CNV calling capabilities covered in this webcast. The topics discussed included: Accounting for GC content Improvements to CNV quality flags Using target filtering Updates to the CNV sensitivity and precision settings This blog post will elaborate on these capabilities and demonstrate how they… Read more »
Dr. Auber is the team leader for the molecular genetic diagnosis of hereditary diseases at the Institute for Human Genetics at Hannover Medical School (MHH). MHH is one of the largest hospitals in northern Germany, with one of the largest outpatient clinics for individuals and families dealing with hereditary cancer and predisposition syndromes. Dr. Auber was in high school when… Read more »
Thank you to those who attended the recent webcast, “High Precision Exome CNV Detection with VS-CNV”. For those who could not attend but wish to watch, here is a link to the recording. This webcast delved into the complex world of CNV calling for whole-exome samples, which presents unique challenges that require specific considerations and strategies. Over the past several months,… Read more »
Researchers and clinicians alike benefit from the powerful capabilities of Golden Helix’s software. Our tools are continuously validated, and we like to showcase a few articles each month that demonstrate the multitude of use cases and advancements in science. For our April installment, I would like to highlight the clinical space, with users spanning the globe, all with a common… Read more »
I want to take this opportunity to highlight and briefly discuss some of the key features and updates that have been incorporated into VarSeq 2.2.3. Some of you may have attended the webcast that covered the prominent new features added to VarSeq, which are the updates to improve whole-exome analysis workflows, namely improved CNV calling in whole-exome datasets. However, there… Read more »
In many cases, VarSeq users design their next-gen sequencing workflows for a clinical application. One of the major values of using VarSeq is the standardization of sample analysis via project templates for filtering down to rare variants and isolate any clinically relevant variant. However, VarSeq also doubles as a robust research application as well. There are specific algorithms that can… Read more »
With the latest release of VarSeq, we have made significant updates to our handling of the interaction of variants and genes. This includes the support for non-coding transcripts, improved splice site predictions, and updates to gene and transcript annotations. We received several questions regarding how decisions are made in the software regarding genes and transcripts with these gene-related changes. This… Read more »
While VarSeq has always had excellent support for variant interpretation and analysis, we continue to find new edge cases in the clinical literature that improve our interpretation capabilities. In this blog, we will be covering some of the new improvements in VarSeq to support the interpretation of non-coding and splice site variants. Transcript Annotation Improvements Let’s start by covering some… Read more »
We are excited to share our latest publication with The Journal of Precision Medicine, “Implementing the ACMG Guidelines for CNV in a Commercial Software Solution”. “In 2020, ACMG in collaboration with the ClinGen working group developed a new set of guidelines for the clinical interpretation of CNVs. While theseguidelines provide a robust set of rules for interpreting intragenic deletions and… Read more »
