Search results for “annotation”

Exploring Genetic Frontiers: Customer Publications on VarSeq-Powered NGS Analysis in Pompe Disease and Developmental Dyslexia

Apr 27, 2023

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…

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Unraveling Structural Variants with VarSeq: A Comprehensive Workflow

Apr 18, 2023

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.…

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Managing the Scope of Somatic Variants Reported in VSClinical

Apr 13, 2023

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…

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Decoding Complex Fusion Representations: A Deep Dive into VCF Breakend Notation and its Impact on Gene Analysis

Mar 14, 2023

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…

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Creating a BED File from RefSeq: A Comprehensive Guide for Accurate Data Analysis

Feb 14, 2023

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 for your samples. But…

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Unlocking Clinical Evidence: A Deep Dive into the Supporting Data Sources of VSClinical AMP Workflow

Feb 7, 2023

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…

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Highlighting Customer Publications: January 2023

Jan 31, 2023

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…

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Maximizing Cancer Care with Golden Helix CancerKB 2.0: Unveiling the Latest in Precision Medicine

Jan 26, 2023

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…

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VarSeq 2.3.0: A Comprehensive Look at the Revolutionary Cancer Genomic Profiling Solution’s New Features and Advancements

Jan 18, 2023

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…

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Exploring the CRAM File Format in VarSeq 2.3.0

Jan 17, 2023

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…

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What to Expect from Golden Helix in 2023 

Jan 2, 2023

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…

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Webcast Recap: Somatic Variant Analysis in VarSeq 2.3.0

Dec 22, 2022

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…

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Variant Normalization – Choosing When to Split Multinucleotide Variants Into Allelic Primitives.

Dec 20, 2022

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…

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Streamlining Variant Analysis for Large Genetic Cohorts: Part 2

Nov 29, 2022

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…

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Webcast Recap: VarSeq 2.3.0: Supporting the Full Spectrum of Genomic Variation

Nov 22, 2022

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.…

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Heading to Phoenix, AZ for AMP 2022

Nov 1, 2022

The Golden Helix team is headed off to Phoenix, AZ for the Association for Molecular Pathology Annual Meeting & Expo (AMP) 2022. We are enthusiastically awaiting a week of genetics discussions with new and familiar faces. If you are attending, please stop by our booth and say hello! We will…

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Customer Publications – October 2022

Oct 31, 2022

October 2022 was VarSeq’s month, and we saw incredible research and clinical application being utilized with the VarSeq suite. Whole exome sequencing and variant filtering and annotation, CNV calling for oncology research, and pathogenicity classification using the ACMG guidelines. VarSeq was able to be a front-runner this month, showing the…

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Using rsID lookup in a VarSeq Workflow

Oct 4, 2022

There are many reasons a user may wish to focus in on specific variants as part of variant annotation and filtration workflow. You may be looking for the occurrence of specific SNPs in a cohort or perhaps looking for variants known to be associated with specific forms of cancer. For…

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Predicting the Functional Impact of Genetic Variants Using VarSeq

Aug 9, 2022

Large-scale next-generation sequencing studies are becoming increasingly popular clinical and research tools. One enduring challenge for interpretion of these large amounts of data has been predicting the functional impact of genetic variants. Access to efficient computational tools for predicting the functional impact of variants is crucial to prioritizing the most…

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Locking down clinically validated workflows for routine analysis

Jul 20, 2022

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…

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