Greetings VarSeq users! VarSeq 2.4.0 has officially been released. VarSeq 2.4.0 is a significant release that focuses on enhancing the VSClinical ACMG workflow by introducing new features and noteworthy improvements. The major highlights of the release are: 1. Welcoming structural variant support to the VSClinical ACMG workflow 2. ACMG workflow automation has been enhanced via the application of evaluation scripts… Read more »
Explore the evolving landscape of genomic analysis, transitioning from targeted gene panels to whole genome sequencing. A recent trend with our customers has been to expand their workflows from small panel sequencing analyses to larger whole exome and genome sequencing analyses. The decreasing cost of sequencing has made this a rather common request. Although more data allows for a greater… Read more »
A new VSPipeline command, set_data_folder_path, designed to bolster consistent input usage. By introducing this innovative command, we aim to empower users with improved data organization, flexibility, and standardization for their clinical cases and analyses. Embracing this command will not only support reproducibility but also ensure accountability, ultimately paving the way for better-informed patient care decisions. Managing Annotations and References in… Read more »
Use the force of evaluation scripts to automate and customize your VSClinical ACMG workflow in VarSeq 2.4.0. VarSeq 2.3.0 came packed with new features! Most notably, VarSeq variant analysis expanded to support the import and annotation of structural variant files, and the AMP cancer workflow in VSClinical gained new functionality with the addition of evaluation scripts which help automate and… Read more »
Discover the power of VSClinical’s Interpretation Match Behavior options for managing the scope of somatic variants in cancer reporting, enabling clinical teams to make informed treatment decisions. Multiple interpretations can apply to a single biomarker or tumor type. In some circumstances, a clinical team may only want to report the most relevant and significant biomarker, treatment, diagnosis, or prognosis interpretations… Read more »
Revolutionize Your Somatic Variant Analysis with Our Cutting-Edge Template for Annotation and Filtering in VarSeq Golden Helix is excited to share our new Comprehensive Cancer Template for somatic variant annotation and filtering, along with the latest version of our software VarSeq 2.3.0! Our latest VarSeq update was specifically focused on getting up to speed with multiple aspects of somatic variant… Read more »
VSClinical AMP Matching of Interpretations In this blog post, we will delve into the intricacies of the VSClinical AMP interpretation workflow. At the heart of this process lies the task of annotating cancer biomarkers with the correct interpretations based on the classification of the tumor and the type and scope of the biomarker. This is a crucial step in understanding… Read more »
Variant normalization is essentially reducing the representation of a variant to its canonical representation. Variant normalization ensures that the way a variant is represented is parsimonious and left-aligned and can also refer to splitting variants into their allelic primitives. VarSeq normalizes variants by default, but we offer users the option to forego one or more aspects of variant normalization. This… Read more »
The last blog in this series covered streamlining variant analysis for large genetic cohorts, namely case-control studies, on a single-project basis. The reality when dealing with big data is that you often do not handle a high volume project all at once. Therefore, we will follow up on the topic of cohort analysis by discussing Golden Helix’s solution for streamlining… Read more »
Thank you to everyone who joined us for our webcast on the upcoming VarSeq features supporting the full spectrum of genomic variation! Traditionally, NGS cancer testing started with small gene panels that looked at a small set of the most common genes to identify small mutations, such as BRAF V600E. However, there are many classes of mutation that cannot be… Read more »
The ability to analyze copy number variants (CNVs) is an important aspect of any clinical or research workflow. While calling CNVs can be a challenging engineering problem, we are thrilled by our capacity to detect, analyze, and catalog CNVs all in the same place with VarSeq-CNV. In this blog, we will dive into the particulars of detecting CNVs with gene… Read more »
Let’s say you are the director of a large lab, which is running tens or hundreds of standard NGS sample analyses per week. You have a number of employees with varying levels of analysis background, and you want to be sure everyone is running the analysis the same way. You are also concerned about updating catalogs that could create differences… Read more »
Oftentimes, the endpoint of a clinical variant analysis is a standardized, clinical report. As such, we ship a number of default templates with VSClinical for users to report their findings. But these templates are just a starting point! Our platform allows users to fully customize their reports to adhere to lab-specific preferences. We have shared a plethora of how-to’s on… Read more »
Advances in high-throughput sequencing have allowed us to be able to detect structural variants such as copy number variants in addition to small variants such as SNVs and indels. We provide users with an industry-leading CNV calling algorithm to detect CNVs directly from their next-generation sequencing data including whole genome, whole exome, and gene panel datasets, and also import CNVs… Read more »
While the interpretation of germline variants generally focuses on the pathogenicity of a variant for a specific disease, the interpretation of somatic variants is centered around each variant’s impact on clinical care. As a result, clinical trials play an important role in assessing the clinical significance of somatic biomarkers, with the AMP Guidelines assigning a higher level of evidence to… Read more »
When doing next-generation sequencing (NGS) analysis in VarSeq, the fundamental goal is to develop efficient ways to filter through your NGS data. If you are just getting started with Varseq, a pre-designed project template can really come in handy for variant filtering! This blog series will cover a number of template design recommendations for variant filtering on data types ranging… Read more »
Although best known for its auto-generation of custom reports, VarSeq comes with a slew of options for exporting your data. In this blog, we will review some of the lesser-known methods for exporting your data into usable formats. These four export options can all be found under the Export tab at the upper left corner of your VarSeq interface (Figure… Read more »
In our previous blog, we covered the highlights of our Advanced Report Customization in VSClinical webcast in the context of germline clinical reports. Now, we bring you the next of the series: somatic clinical reports. In the recent webcast, Advanced Report Customization, we covered a range of somatic-focused clinical reports, demonstrating how easy it is to create AMP guideline-based clinical… Read more »
In order to thoroughly assess a variant’s pathogenicity, it is important to take into account the variant’s effect on splicing. While the interpretation of variants that disrupt the pairs of bases at the beginning of a splice site is fairly straightforward, variants resulting in the introduction of a novel splice site are more difficult to interpret. In this blog post,… Read more »
Golden Helix VSClinical provides a guided workflow interface for following the ACMG and AMP guidelines to evaluate variants and CNVs for NGS tests. The output of this work is most often a lab-specific clinical report. Since it was introduced, we have provided a powerful Word-based templating system to allow labs the ability to generate customized reports to include specific content… Read more »
