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 »
Discover how soft clip visualization can help you identify structural variants in your research and improve the accuracy of your findings. Soft clipping is a common technique in sequence alignment used to remove bases from the ends of reads that do not align with the reference sequence. Removing these bases typically improves alignment accuracy. However, when multiple reads are soft… 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 »
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 »
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 »
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 ACMG classification guidelines for variant pathogenicity are as ubiquitous as they are complicated to implement. They play a consistent and evolving role in the standard workflows of many experts in the next-generation sequencing field, both in the clinical and research space. Furthermore, they can be effectively applied in both somatic and germline workflows. Hence, consistent and auditable methods for… 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 »
Manually converting FASTQs to VCFs, importing these into VarSeq, and building projects from scratch is adequate when you have only a handful of cases per week. But as you start ramping up production, the key to your lab’s success quickly becomes how quickly and efficiently you can get to the reporting of your analysis. This blog will explain how you… 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 »
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 »
Curated databases are a real time saver when compiling published evidence to support your variant evaluations and classifications. Leveraging the curated databases at your fingertips in our VSClinical variant interpretation hub is even more efficient. Not only does VSClinical provides users with automated variant classification for germline variants according to the ACMG guidelines and somatic variants according to the AMP… Read more »
An under-utilized use of VarSeq is the ability of mining raw variant data in GenomeBrowse for relevant literature. By bringing in various public and private annotation sources, GenomeBrowse allows the user to interface with raw variant data in a compressed and manageable view. This blog will show you how to leverage these sources to power up your search for variant… 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 »
Thanks to all those who attended the recent webcast by Dr. Rana Smalling, “Integrating Custom Gene Panels for Variant Annotations”. If you were unable to attend or would like to recap, here is a link to watch the broadcast. We covered a lot of content regarding virtual gene panels, and there were several questions submitted during our Q&A session that… Read more »
Global population frequency catalogs like 1kG Phase 3, gnomAD, DGV, and others are excellent resources for identifying rare variants in your copy number variant (CNV) analysis. However, they are not exhaustive, and the reality is a lot of variants that are missing from global population frequency catalogs are still common variants. At the same time, CNVs that are identified by… Read more »
If you stay current on the developments of Golden Helix features, you are aware of the substantial evolution of our copy number detection and evaluation capabilities in VarSeq. The process of CNV detection and evaluation is typically handled through the VarSeq graphic user interface. However, in some cases, users benefit from running this process via the command-line interface. Fortunately, Golden… Read more »
As a newer member of the Golden Helix FAS Team I, like many of our customers, went through a phase of learning the ins, outs, and shortcuts of clicking around the program. In an effort to expedite new users coming up to speed, or to teach some tricks to experienced users, I’ve compiled a list of the top things I… Read more »
