Tag Archives: VarSeq

VarSeq PhoRank Part: 2 Sample PhoRank Gene Ranking

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 »

VarSeq PhoRank Part 1: Variant PhoRank Gene Ranking

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 »

Annotating and Cataloging CNVs in Varseq – Webcast Q&A

We love when our viewers send questions in during the webcast but unfortunately we can’t answer all of them during the time allotted!  If you asked a question see below for answers, or if after viewing, you have any questions that weren’t asked, please feel free to send those over to support@goldenhelix.com. Does this work for FFPE derived DNA or ctDNA?… Read more »

CNV Setup & Quality Assessment: Part 1

annotate

2017 was a busy year regarding the development of our CNV tools. Since the release of the CNV caller, we have produced quite a bit of content tailored to assist our users with getting started. Here are some links: Robarts Research Institute CNV analysis on patients with familial hypercholesterolemia CNV annotations Common CNV questions CNV calling with shallow whole genome… Read more »

VSClinical: The details you should know

ClinVar

The recent release of VSClinical gives users the ability to evaluate variants based on the 33 criteria according to the American College of Medical Genetic and Genomics (ACMG) guidelines. This feature leverages a variety of variant sequencing evidence including population data, functional data, and computational predictions while providing rich visualizations and auto recommendations to help answer challenging criteria. This highly… Read more »