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 »
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 »
In our recent webcast, we discussed the exciting new features of VarSeq 2.4.0 and the updated VSClinical interface. The discussion was centered around three main topics: In summary, VarSeq 2.4.0 uniquely supports the analysis of all variant types in the clinical interpretation workflow. By incorporating structural variants, enhancing automation, and empowering users to handle complex data, it offers a comprehensive… Read more »
Learn how VarSeq revolutionizes NGS workflows by enabling the integration of comprehensive internal databases, allowing bioinformaticians to create custom pipelines and maximize data analysis efficiency. Are you a current (or future) VarSeq user with a perfect, comprehensive, internal database you simply can’t part with and can’t replicate? Do you dream of coalescing many disparate workflows into a consistent, reliable pipeline?… 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 »
These customer publications highlight our platform’s versatility in transforming NGS analysis for Late-Onset Pompe Disease and Developmental Dyslexia, leading to breakthroughs in comprehending complex genetic disorders and enabling novel treatment avenues. The versatility of our VarSeq platform is in full bloom this spring! Below are two examples of the scalability of our software as well as the complex analysis that… Read more »
Unlock the potential of VarSeq for efficient analysis of structural variants, providing robust annotation, filtering, and interpretation of intricate genetic variations. While the analysis of structural variants (SVs) is crucial for understanding the genetic basis of disease, the process of interpreting these variations can be a challenging and complex task. Structural variant callers typically store rearrangements in VCF files, which… 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 »
Unlocking the intricacies of fusion representations is crucial for understanding the impact of complex genetic rearrangements on gene function and disease development. In the most recent release of VarSeq, we added support for the import of complex rearrangements from VCF files, which typically encode rearrangements using breakend notation. This powerful notation is capable of describing the full spectrum of structural… Read more »
A Step-by-Step Guide to Creating a BED File from RefSeq for Accurate Data Analysis Our FAS team has received a flurry of inquiries recently, asking how to run coverage statistics on their projects without a pre-defined BED file. We’re here to help! To analyze sample coverage statistics, you’ll need a BAM or CRAM file that displays the read depth coverage… Read more »
Discover the innovative clinical evidence search of the VSClinical AMP workflow, where patient biomarkers and tumor types are matched to the most relevant data from top sources like CIViC, DrugBank, and Clinical Trials. One of the core features of the VSClinical AMP interpretation workflow is the ability to search third-party data sources to find clinical evidence that matches the patient’s… Read more »
This month we are thrilled once again to highlight two publications in which VarSeq plays an important role in the genetic testing pipeline. The continuing advances in Next Generation Sequencing (NGS) are assisting researchers and clinicians in gaining a deeper understanding of complex human syndromes, often referred to as congenital regulopathies. In this first study, genetic variants were discovered that… Read more »
Our recent webcast, Maximizing the Benefits of Comprehensive Genomic Testing in Cancer Care with Golden Helix CancerKB 2.0, was an opportunity to unveil Golden Helix CancerKB v2.0. Our latest VarSeq release was designed to address the changing landscape of cancer genomics, and in this webcast, we discussed the application of our very own Golden Helix CancerKB in the context of… Read more »
Discover the latest advancements in cancer genomic profiling with the release of VarSeq 2.3.0 We are very excited to announce the release of VarSeq 2.3.0! This release was one of the largest VarSeq releases yet, as it includes a large refactor to the VSClinical AMP cancer module. A primary motivation for the release was focused on the availability and increased… Read more »
Unlocking the Potential of CRAM Files: The New VarSeq 2.3.0 Release for Enhanced Plotting, Coverage Analysis, and CNV Detection The CRAM (Compressed Reference-oriented Alignment Map) file format was conceived in 2011 as a more space-efficient way to store alignment data. It saves space over the previous standard BAM (Binary Alignment Map) by only storing the differences between each read and… Read more »
Happy New Year! I hope that you all were able to enjoy quality time with your loved ones over the holidays. Now that 2022 has come to a close, we would like to take the time to say thank you while looking back on a big year full of new experiences and accomplishments. During the pandemic, we’ve been using the… Read more »
Our FAS team would like to thank everyone who attended our December 2022 webcast, A User’s Perspective: Somatic Variant Analysis in VarSeq 2.3.0. This webcast allowed three members of our FAS team to give their unique insights concerning the improvements to our new VarSeq 2.3.0 release, which will be recapped here. Starting with template creation, our Technical Field Application Scientist,… 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 »
