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 »
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 »
Configuring a bioinformatic pipeline to reliably process genomic data is no small task. Doing so in an efficient, consistent way is an even grander challenge. Luckily, the VarSeq software suite provides a comprehensive toolbox for automation and integration. One of the first questions a new VarSeq user might ask is where processed data needs to end up. The versatility of… Read more »
Assessment catalogs are a way for VarSeq users to save variants and variant information for clinically relevant variants, so when you come across this variant again in another sample, all of the work to analyze and classify the variant is already done! But there is more than meets to the eye when it comes to using assessments in VarSeq. Being… Read more »
The ability to import patient-level information into VarSeq and VSClinical can not only save time while evaluating a sample but can be a critical step in automating project creation through VSPipeline. Here we will review how to construct a basic text manifest and how to apply that manifest to a project. Those fields can then be rendered into the final… Read more »
The field of genomics and precision medicine is rapidly evolving, bringing forth innovative diagnostic and treatment approaches. The cutting-edge techniques and technologies discussed in the following papers provide insight into how whole-exome sequencing (WES), whole-genome sequencing (WGS), and deep computational analysis are reshaping healthcare. Our spotlight is on recent customer publications featuring the study of a unique heritable form of… Read more »
While the analysis of gene fusions is crucial for understanding the genetic basis of cancer, the process of interpreting these mutations can be challenging. One important component of fusion interpretation is the identification of relevant publications. To aid researchers in the search for publications related to specific gene fusions, Felix Mitelman, and colleagues have created the Mitelman Database of Chromosome… Read more »
VarSeq 2.3.0 unleashed a whole new way to select, process, analyze, and report cancer variants through complete workflow automation, application of evaluation scripts, and enhanced annotation. Single nucleotide variants, copy number variants, structural variants, and genomic signatures could be added to a single patient evaluation, and Golden Helix CancerKB came packed with new report-ready interpretations to support them! Soon after,… Read more »
When doing clinical variant analysis, it is often essential to keep track of the variants that are encountered in each sample, their pathogenic or oncogenic classifications, which individual created or saved an interpretation, and when. For this purpose, VarSeq prompts VSClinical users to create default assessment catalogs in which to store variants and other events. However, we are aware that… Read more »
In recent weeks, GenomeBrowse capabilities have had a sudden resurgence of interest among our customers. To support this, the FAS team wanted to share with you several under-utilized GenomeBrowse plotting tricks. First, let’s cover plotting a BED file for easy track viewing. The first step is launching a GenomeBrowse window by clicking the + button and selecting GenomeBrowse (Figure 1)… Read more »
The AMP guidelines workflow in VSClinical provides a user-friendly tool for the interpretation of somatic biomarkers across the entire spectrum of genomic variation. One of the most useful features of this workflow is its ability to streamline the evaluation of clinical evidence for a somatic biomarker using the AMP Tier evidence levels. The AMP Guidelines classify a biomarker into one… Read more »
Discover the Latest Developments in Variant Classification and Interpretation Tools at Golden Helix’s Booth at AMP Europe 2023 in Milan, Italy We are thrilled to announce that Golden Helix will be participating in the AMP Europe 2023 conference in Milan! We are eagerly looking forward to connecting with leading healthcare professionals and researchers in the field of genetics at this… Read more »
Explore the Newest Developments in Variant Classification and Interpretation Tools at Golden Helix’s Booth at ESHG 2023 We are excited to announce that Golden Helix will be attending the ESHG 2023 conference in Glasgow! We can’t wait to connect with leading healthcare professionals and researchers in the field of genetics at this premier event. Find us in Booth #566 Be sure… Read more »
Welcome to our latest roundup of inspiring stories from the field of genomics. We are thrilled to highlight the groundbreaking work of our customers who have been utilizing Golden Helix’s VarSeq software in their scientific endeavors. VarSeq, our innovative software solution for analyzing and visualizing variant data, has enabled researchers to push the boundaries of genetic analysis. Below are three… Read more »
Explore the importance of negative findings in genomic medicine through the lens of VarSeq’s VSClinical AMP. When analyzing a somatic sample in VarSeq, users have the option to report on several types of biomarkers with VSClinical AMP. In addition to your usual mutational biomarkers such as small variants, your copy number variants, and structural variants, we support the analysis of… Read more »
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 »
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 »
Discover powerful WES prenatal workflow examples showcasing the detection of Duchenne Muscular Dystrophy, Gaucher Disease, and Fabry Disease through advanced genetic screening techniques. Our recent Prenatal Genetic Screening with VarSeq webcast focused on using whole exome sequencing for prenatal genetic analysis. This webcast was a hit with our customers, who asked for more information on different filtering chains to identify… Read more »
