We on the FAS Team recently had a case we wanted to share where Compute Field could help a customer navigate filtering a unique edge case. This edge case coincides with the rising popularity of filtering on a specific value for the Alternate of the Allelic Depths Column. Said another way, we could be looking for Alt DP greater than… Read more »
Golden Helix customers continue to push the boundaries of genomic research and clinical applications, leveraging VarSeq to analyze complex genetic data and uncover previously uncatalogued variants. With advancements in long-read sequencing and our recent updates to the VarSeq software, clinicians can now harness phasing information to distinguish between inherited and novel mutations in a Trio analysis with unprecedented accuracy. In… Read more »
Golden Helix field application scientists curate a set of FAS templates that capture best practices for filtering, which we use when training and onboarding customers. In addition to the basic templates that come default with the software, these more fleshed-out templates are available upon request. This first blog in the series focuses on germline variant analysis. Rare pathogenic variants The… Read more »
It’s the big day, and you’ve spent hours preparing for the big old-fashioned family Thanksgiving. Keeping in mind that your Cousin Eddie likes to show up unannounced and eat you out of house and home, you have remembered our food allergy allele workflow from last year, and prepared a special menu. Right on time, Cousin Eddie arrives, family in tow…. Read more »
Mitochondrial diseases, caused by mutations in mitochondrial DNA (mtDNA), represent a complex and diverse group of disorders. These conditions often affect organs with high-energy demands, such as the brain, heart, and muscles. Identifying mitochondrial DNA variants and understanding their clinical relevance is essential for diagnosing and treating these diseases. One of the most valuable resources in mitochondrial variant analysis is… Read more »
The PGx Variant Detection and Recommendations algorithm is the driving force behind the pharmacogenomic analysis capabilities provided by VSPGx in VarSeq. This algorithm is used to identify pharmacogenomic diplotypes and annotate them against drug recommendations. In this blog post, we outline the steps involved in the process and explain the annotation tracks utilized by the algorithm at each stage of… Read more »
VarSeq enables users to import structural variants for annotation, filtration, and subsequent clinical or other analyses. Structural variants are often called during secondary analysis as belonging to two broad categories – Copy Number Variants (CNVs) with the file suffix “…_CNV.vcf” and Breakends with the file suffix “…_SV.vcf”. This blog will give some insight into how structural variants are triaged when… Read more »
Variant curation is one of the most important aspects of a next-generation sequencing workflow. The routine application of previously rendered interpretations, paired with the ability to take into account evolving knowledge bases, allows clinical practices to rapidly and accurately provide life-saving results to patients. Hence, assessment catalogs, versatile databases that store variant interpretations for rapid access, form one of the… Read more »
Bioinformatic freedom is core to the user experience with Golden Helix software, a topic with which you will be well-versed if you’ve kept up on our recent blogs. We are constantly endeavoring to provide our users with powerful tools to tackle complex and impactful next-generation sequencing (NGS) workflows while maintaining transparency and the ability to customize and augment each component… Read more »
There are many ways to optimize an individual workflow, from increasing the granularity of a filter chain to automating certain multi-stepped tasks. Although the best way to optimize an individual workflow is to book a session with our FAS team to talk about your unique use case, we wanted to highlight five ways a workflow can be optimized across most… Read more »
There are several contextual factors to consider when analyzing genomic data for NGS analyses. A variant may have divergent impacts depending on which transcript of the gene is being considered, or the impact of a variant could be weighed more or less heavily depending on the disease context. Evidently, the user’s gene preferences are very important, but not all software… Read more »
Last month, the researchers at Google DeepMind announced the release of AlphaMissense, a new missense prediction algorithm that leverages the protein structure prediction model AlphaFold to distinguish between benign and pathogenic missense variants (Cheng et al., 2023). AlphaFold is a model for the prediction of protein structures from amino acid sequences. During the development of AlphaMissense, the AlphaFold model was… Read more »
When interpreting fusions in their VCF format, it is not easy immediately grasp which side of the positions are adjacent in the resulting fusion. When interpreting and troubleshooting fusion variants, I usually find myself reaching for the VCF spec. If you, like me, are looking to speed up this process and gain a quick understanding of the fusions in your… 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 »
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 »
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 »
Enhancing VarSeq Customization and Automation with Visual Studio Code: A Guide to Evaluation and Reporting Scripting Are you as excited as we are about the new automation and customization features we’ve been rolling out with VarSeq’s most recent release, VarSeq 2.3.0? Do your eyes light up at the prospect of automated integration of various data sources into VarSeq’s evaluation and… 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 »
Golden Helix provides extensive resources to help our users who are just getting started and address any issues they may encounter as they become more familiar with our software. Our resources are constantly updated and are tailored to the needs of our users. If you’re facing a problem, it’s likely that others have encountered it as well, and we’ve included… Read more »
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 both of these use cases, VarSeq provides a Match String… Read more »
