Detecting CNVs from whole genome data has a number of advantages but also unique challenges. Whole genomes offer a comprehensive and uniform picture of the entire genome, allowing a user to capture CNVs at a higher resolution than with data sequenced at a lesser scale. It also allows for the detection of structural variation over non-coding regions and for a… 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 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 »
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 »
Genomic data visualization is an extremely powerful means to help users comprehend massive amounts of sequencing data and is valuable for communicating genomic information and findings. Genome browser tools allow users to visualize aligned sequence data in BAM format, map the data to a reference assembly, view annotation tracks, genomic region tracks, export graphics for sharing, and much more. Genome… Read more »
Merging variant records, VCFs, across samples is important when performing trio or family analysis as it ensures that hereditary relationships can be properly inferred. There are many ways to represent a single variant. Insertions and deletions may be right or left aligned, prefixes and suffixes can be added, and adjacent variants in the same sample may be combined or split… Read more »
One of the many tricks of encoding so much functionality into so little space in eukaryotic genomes is the ability to produce multiple distinct mRNAs (transcripts) from a single gene. While one transcript is often the dominant one for a given tissue or cell type, there are, of course, exceptions in the messy reality of biology. It doesn’t take many… Read more »
Thank you to those who attended our recent webcast, “PhoRank 2.0: Improved Phenotype-Based Gene Ranking in VarSeq”. For those who could not attend, you can find a link to the recording here. This webcast covered upcoming improvements to the PhoRank phenotype-based gene ranking algorithm based on literature published in the years since the algorithm’s development. The PhoRank Algorithm When performing… Read more »
I learned about Batten disease from a childhood friend’s Facebook post. Over the course of a few months, her 8-year-old, Eva, the oldest of 4 daughters – Emily, Lucy, and Carly – was rapidly going blind. Baffled, doctors ran a genetic panel that returned a devastating result – the diagnosis of Juvenile Neuronal Ceroid Lipofuscinosis or Batten disease. A broad… Read more »
Dr. Auber is the team leader for the molecular genetic diagnosis of hereditary diseases at the Institute for Human Genetics at Hannover Medical School (MHH). MHH is one of the largest hospitals in northern Germany, with one of the largest outpatient clinics for individuals and families dealing with hereditary cancer and predisposition syndromes. Dr. Auber was in high school when… Read more »
In many cases, VarSeq users design their next-gen sequencing workflows for a clinical application. One of the major values of using VarSeq is the standardization of sample analysis via project templates for filtering down to rare variants and isolate any clinically relevant variant. However, VarSeq also doubles as a robust research application as well. There are specific algorithms that can… Read more »
While VarSeq has always had excellent support for variant interpretation and analysis, we continue to find new edge cases in the clinical literature that improve our interpretation capabilities. In this blog, we will be covering some of the new improvements in VarSeq to support the interpretation of non-coding and splice site variants. Transcript Annotation Improvements Let’s start by covering some… Read more »
In this blog, we will be covering new assessment catalogs and how they work to improve saving and tracking variant interpretations. VarSeq is a variant analysis tool that effectively analyzes single nucleotide (SNVs) and copy number variants (CNVs) in both cancer and germline workflows. Because VarSeq enables such diverse variant analysis, there are many research labs and institutions that evaluate… Read more »
In many cases, VarSeq users typically run single trio projects or perhaps an extended family project. Not only are all the inheritance model algorithms available in the VarSeq software to capture de novo, dominant, or recessively inherited variants but there are a number of quality control fields to help ensure the pedigree was set up properly. The last thing any… Read more »
Our latest release of the VarSeq software has had a major upgrade with the addition of the new CNV ACMG guidelines! Here are some recent webcasts we’ve given covering the new guideline tool: Family-Based Workflows in VarSeq and VSClinical A User’s Perspective: ACMG Guidelines for CNVs in VSClinical Not only does VarSeq 2.2.2 come with the new guideline tool, but… Read more »
Thank you for attending the webinar focused on implementing VarSeq and VSClinical for family-based workflows. If you would like to use the webinar as a reference or were not able to attend, you can access it using the following link to view ‘Family-Based Workflows in VarSeq and VSClinical. Here is a brief recap of what we discussed: This webinar demonstrated… Read more »
There is a multitude of interesting new features that have been incorporated into VarSeq 2.2.2. In this blog, I want to continue the discussion of these features and how each can be incorporated into your workflow, and also discuss the application of the Probability Segregation algorithm for copy number variation (CNV) analysis. The Probability Segregation algorithm is a new algorithm… Read more »
Our latest VarSeq release is one of the largest we’ve ever had, boasting an extensive list of new features and improvements. As part of this release, we have dramatically expanded our support for splice site analysis. This includes improvements to our novel splice site algorithm and support for splice site effect prediction along with several other small improvements. Novel Splice… Read more »
In continuation of our blog posts focusing on new features of VarSeq v2.2.2, here we will discuss the Latest Sample Assessment algorithm for both single nucleotide variants (SNVs) and copy number variants (CNVS). This algorithm annotates the variants of the project with the latest assessment from your variant catalog, which will show the history of interpretations made for the variants… Read more »
Curious about how coverage statistics can be used in conjunction with VarSeq? Evaluating the coverage over target regions or whole genomes is essential whether you are working with variant or CNV analysis. VarSeq has had the capability to compute sample level coverage statistics for some time now, but in the 2.2.2 release of VarSeq, there are some new features that… Read more »
