Tag Archives: Golden Helix

Top 10 Posts for Understanding Clinical Annotation of Genomic Variants

Top 10

The VarSeq clinical platform is built on a strong foundation of data curation and annotation algorithms to ensure the variants identified have all the information required to make the correct clinical assessments.  It’s easy to make light of “variant annotation”, but the details run very deep into the roots of how we represent genomic data, how public data is aggregated, stored… Read more »

Secondary Analysis 2.0 – Part V

Detection of CNVs

An Example of an Integrated Clinical Workflow for CNVs and SNVs In this blog series, I discuss the architecture of a state of the art secondary pipeline that is able to detect single nucleotide variations (SNVs) and copy number variations (CNVs) in one test leveraging next-gen sequencing. In Part I, we reviewed genetic variation in humans and looked at the key… Read more »

Customer Publications From Around the Globe

customer

It’s fascinating to hear the various ways our products are being used by customers all around the world. This month we’re featuring publications citing VarSeq, SVS and HelixTree which cover studies from Schizophrenia, Multiple Sclerosis and more. We hope you enjoy! Exome sequencing in schizophrenic patients with high levels of homozygosity identifies novel and extremely rare mutations in the GABA/glutamatergic pathways This… Read more »

Secondary Analysis 2.0 – Part IV

Detection of CNVs

Examples of CNV Calling What do CNV calls actually look like? What are some of the key metrics to determine an event? Part IV of the Secondary Analysis 2.0 blog series will answer these questions by walking through some examples of how our CNV caller, VS-CNV, identifies CNVs. Golden Helix integrates multiple metrics to determine if a CNV event is… Read more »

Secondary Analysis 2.0 – Part III

Detection of CNVs

Detection of CNVs in NGS Data Our Secondary Analysis 2.0 blog series continues with Part III: Detection of CNVs in NGS Data. We will give you an overview of some design principles of a CNV analytics framework for next-gen sequencing data. There are a number of different approaches to CNV detection. The published algorithms share common strategies to solve the… Read more »