The common approaches to detecting copy number variants (CNVs) are chromosomal microarray and MLPA. However, both options increase analysis time, per sample costs, and are limited to the size of CNV events that can be detected. VarSeq’s CNV caller, on the other hand, allows users to detect CNVs from the coverage profile stored in the BAM file, which allows you… Read more »
Gene Fusion Background Gene fusions are hybrid genes that result from translocations, interstitial deletions, or chromosomal inversions that can lead to constitutive gene activation and result in increased or abnormal protein production. Increased or abnormal protein production subsequently can play an important role in tumorigenesis and thus identifying and evaluating this type of biomarker is important in the cancer workspace…. Read more »
We have covered a lot of ground in this Automating & Standardizing Your Workflows blog series. First, we saw how to perform secondary analysis with Sentieon to generate the necessary VCF and BAM files for tertiary analysis in Part I. The implementation of VSPipeline allowed for rapid import and project generation for a predefined cancer gene panel project template in… Read more »
VSClinical users can interpret and report genomic mutations in cancer following the AMP guidelines which we’re demonstrating in this “Following the AMP Guidelines with VSClinical” blog series. Part I introduced the hands-on analysis steps involved in creating a high-quality clinical report for targeted Next-Generation Sequencing (NGS) assays. We reviewed sample and variant quality, including the depth of coverage over the target regions by the sequencing performed for each sample. Now, we are ready to… Read more »
VSPipeline: Automating your Tertiary Workflows The first part of this “Automating & Standardizing your NGS Workflow” blog series covered the secondary analysis steps of read alignment and variant calling with Sentieon. The next step is to transition into the tertiary analysis via utilization of our workflow automation tool, VSPipeline. VSPipeline operates as a command-line tool meant to simplify the deployment… Read more »
In the world of genomics shaping precision medicine in oncology, the limiting factor is the time-to-sign-out of a fully interpreted molecular profile report. There are many components of the entire testing process that add to the turn-around time of each test. Many of these steps, such as sample prep, sequencing, and automated secondary analysis, are bounded and consistent in their time requirements. The hands-on… Read more »
With the increasing knowledge of mutations involved in cancer, it is imperative to have a tertiary analysis pipeline that provides users with the most up to date information on somatic mutations. VSClinical’s Cancer Add-On does just that and more; with this feature, users can investigate and report on SNVs, indels, CNVs, gene fusions, and considerations for wild type genes in… Read more »
Huntington’s Disease (HD) Background Huntington’s Disease (HD) is an autosomal dominant neurodegenerative disease that is caused by a mutation in the huntingtin (HTT) gene resulting in 36 or more CAG trinucleotide repeats in exon 1. Individuals affected by HD experience motor disorders including involuntary movements and poor coordination, cognitive impairments showing a decline in thinking and reasoning and psychiatric disorders… Read more »
When using VarSeq; annotations, application settings, and assessment catalogs are all stored locally. Sometimes these resources can grow to large space grabbing directories, causing you to either purchase additional storage devices or getting rid of previously downloaded resources you might need down the road. But there’s hope! You can set where you want all of your data stored to be… Read more »
Clinical Variant Analysis for Cancer – Applying AMP Guidelines to Analyze Somatic Variants As described in my eBook “Genetic Testing for Cancer,” any bioinformatic pipeline for cancer ultimately calls variants based on the aligned reads that the sequencer generated. Variant calling is the process of reviewing a sequence alignment, typically in the form of a BAM file, to identify loci… Read more »
In the previous two articles, we explored the different steps of a clinical workflow. The first post covered the automated analysis that creates a VarSeq project. While the second post covered the interpretation steps and generation of a clinical report. These posts illustrated the ease with which these complex tasks can be carried out. Today we’ll dig a little bit… Read more »
In the previous blog post, we covered the automated steps to create a VarSeq project. Today we will examine the active analysis steps. These are the steps that require human interpretation to analyze the clinically relevant variants. A lab tech can take the first pass at the output in the generated VarSeq project. They can perform the quality control and… Read more »
Automating a clinical workflow creates a stable and repeatable clinical analysis. Automation reduces the potential to introduce human error, helps in regulatory compliance, and improves the precision of the clinical results. It is important to know that if you run a sample through your clinical pipeline, you are going to get the same results today as you will in 6… Read more »
The Beginning of Your Tertiary Analysis VarSeq is designed to be your NGS tertiary analysis solution providing users simple but in-depth means of exploring gene panel, exome, and whole genome variants. For those not accustomed to the VarSeq software, the main import file for variant analysis is the VCF. Those who are familiar with the VCF know that there can… Read more »
We are happy to announce that our latest version of SVS includes the ability to call CNVs on low read depth Whole Genome Sequencing (WGS) data. Designed for calling large cytogenetic events, this algorithm can detect chromosomal aneuploidy events and other large events spanning one or more bands of a chromosome from genomes with average coverage as low as 0.05x…. Read more »
The PhoRank tool in VarSeq is further explored in this post by looking at the sample-specific capability. VarSeq PhoRank Part: 1 Variant Phorank Gene Ranking showed how the PhoRank algorithm could be applied to all the variants in a VarSeq project, regardless of the number of (or difference in) samples. There is another PhoRank algorithm in VarSeq that allows the… Read more »
One of the main goals of clinical genomic labs is to identify problematic variants in affected individuals. One tool to assist in this search is the phenotype driven variant ontological re-ranking tool in VarSeq called PhoRank. A common situation facing clinicians is sorting through thousands of variants provided by an individual’s exome data (or possibly the individual’s nuclear family exome… Read more »
In a recent webcast, our VP of Product and Engineering Gabe Rudy gave us insight into the current capability and benefits to lifting over to the GRCh38 assembly. Golden Helix fully supports this transition into the most recent reference assembly and have developed our tools on both the 38 and 37 fronts. The purpose of this blog is to not… Read more »
The SVS 8.8.3 release was created to incorporate some of the CNV, genome assembly control, and splice site capabilities that are present in VarSeq, as well as clean up and streamline the GWAS workflows (like when using Mixed Linear Model algorithms) for a better user experience. New Product Add-Ons for SVS GoldenHelix SVS now includes in-silico splice site, functional prediction… Read more »
In part one of this series, we discussed how the ACMG Classifier can be implemented in your filter chain to support a best practice workflow. To continue our discussion on best practices of VSClinical, this blog will shed light on other attributes of VSClinical that can add support to your evaluation. Specifically, we will explore how VSClinical can help users… Read more »
