Author Archives: Golden Helix

Variant Interpretation with VSClinical: Evaluation of an X-linked recessive mutation

         May 21, 2019

Overview VSClinical enables users to evaluate variants according to the ACMG guidelines in a high-throughput fashion and obtain consistent results and accurate variant interpretations. This feature is tightly integrated into our VarSeq platform as well, and when paired together, users can evaluate NGS data and obtain clinical reports all in one suite. Coupled with the ability to find novel or… Read more »

Top 5 Features of Sentieon

         April 23, 2019
Sentieon

Sentieon develops bioinformatics secondary analysis tools to process genomic data with high computing efficiency, fast turnaround time, exceptional accuracy and 100% consistency. These features are what led to the partnership of Golden Helix and Sentieon to provide users with a comprehensive solution for genomic data analysis. This blog post gives readers a more detailed understanding of the top five features… Read more »

Golden Helix Receives NIH-SBIR Phase 2 Grant 2R44 GM128485-02

         March 28, 2019

Golden Helix, Inc. has announced themselves as the recipient of an NIH SBIR Grant 2R44GM128485-02 entitled “Automated and Guided Workflows for Clinical Testing Using NGS Assays.” “With the help of this grant, we will take the clinical automation of NGS data to the next level, focusing on germline diseases and cancer diagnostics,” states Andreas Scherer, Ph.D., President, and CEO of… Read more »

Top-Quality GWAS Analysis: Part V

         January 28, 2019

As our final part of the ‘Top-Quality GWAS Analysis’ blog series, we will be giving a summary of the values behind GWAS quality control and quality assessment. Performing GWAS can provide insight into the association of genetic variants with traits and complex disorders. Any novel insights into marker-phenotype associations need to be based on performing quality control steps. In this… Read more »

Top-Quality GWAS Analysis: Part III

         January 22, 2019

Sample Relatedness Pruning your data based on Linkage Disequilibrium (LD) values and filtering for sample “relatedness” are ideal quality assurance steps following the marker and sample quality filtering described in Part II of this blog series. The value of running an Identity by Decent estimation not only allows you to factor family relatedness in your samples but makes screening for… Read more »

Top-Quality GWAS Analysis: Part I

         January 16, 2019

Importance of Quality in Association Tests SVS is a research application platform provided by Golden Helix that enables an array of computational analyses including genome-wide association studies (GWAS). GWAS is an observational study that can provide insight into the association of genetic variants with traits and complex disorders. The foundation of GWAS utilizes large cohorts sequenced with single nucleotide polymorphisms… Read more »

VarSeq PhoRank Part: 2 Sample PhoRank Gene Ranking

         December 18, 2018

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

         December 13, 2018

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 »

Optimized Breeding Selection via Genomic Prediction

         December 11, 2018

What is Genomic Prediction? Genomic prediction is an algorithm widely used to improve desirable phenotypic traits in agriculture. For example, the cattle industry uses genomic prediction to improve beef quality and palatability as well as improve dairy production (1,2). By using genomic prediction, researchers can minimize multiple expenses in breeding industries as well as diminish the need for performing cumbersome… Read more »

Our Philosophy on Quality in Product Testing and Development

         December 6, 2018

High product quality is a foundational characteristic of a useful and successful product. Quality testing, therefore, is a necessary, albeit an open-ended task. It can at times seem a limitless undertaking in the present using experience from the past to improve the future. Nonetheless, it is approached as a development stage at Golden Helix that is just as essential as… Read more »

SVS 8.8.3 Release

         November 26, 2018
gene ranking

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 »

VSClinical Best Practice Workflows: Part III

         November 20, 2018

This blog will conclude our VSClinical Best Practice Workflow series and focuses on one of our new reports: VSClinical ACMG Gene Panel Template. This template is valuable because it automatically enters your variant interpretation from the ACMG Guidelines into the report and eliminates the need for manual submission. I would like to explain how to properly implement this report into… Read more »

VSClinical Best Practice Workflows: Part II

         November 15, 2018

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 »

VSClinical Best Practice Workflows: Part I

         November 13, 2018

VSClinical is our most recent product that allows users to evaluate variants according to the ACMG guidelines. As with any tertiary analysis, there is a need to implement best practices into your workflow and using VSClinical for the ACMG guidelines is no exception. That said, we have put together a Best Practices Blog Series, with the purpose of discussing some… Read more »

We’re Headed to AMP 2018!

         October 30, 2018

We’ve packed our bags and we’re off to The Lone Star State to take part in the Association for Molecular Pathology Annual Meeting and Expo (AMP 2018)! As first-time attendees, we’re looking forward to integrating ourselves in the AMP community and showcasing our clinical stack, including VSClinical released earlier this year. Come on over and introduce yourself, you’ll find us… Read more »

Using the GRCh38 Reference Assembly for Clinical Interpretation in VSClinical – Webcast Recap

         October 2, 2018
VCF file format

Even though GRCh37 is currently the most widely used human genome assembly, GRCh38 provides a more complete human reference genome, offers more accurate genomic analysis, and includes centromere and mitochondrial information. However, we’re getting ahead of ourselves. Perhaps start with how we got here. The Human Genome Project started this all off with the world’s largest biological collaboration project in… Read more »

Using VS-CNV to detect high-quality copy number variant events

         September 14, 2018

In my recent webcast, I demonstrated how VS-CNV users can detect high-quality copy number variant events. If you didn’t have a chance to join, you can view the recording below! This webcast generated a lot of great questions! If you have any other questions about the content covered in this webcast that is not answered below, please feel free to… Read more »

GWAS Quality Control Within SVS

         August 23, 2018
SVS 8

Genome-wide association studies (GWAS) are useful in genetics as they test for the association of a phenotype with common genetic variants. GWAS is “hypothesis-free” and does not require prior knowledge of a gene’s biological impact on a trait. The catch though is that this leads to analyzing hundreds to thousands of genome-wide array samples to elucidate single nucleotide polymorphisms (SNPs) associated with a specific phenotype.