Category Archives: Best practices in genetic analysis

Golden Helix’s End-to-End Architecture for Clinical Testing Labs

Precision Medicine and the usage of Next-Gen Sequencing to conduct genetic tests is rapidly growing. NGS based tests are increasingly used in therapeutic areas such as: Oncology Pediatrics and Newborn Screening Rare diseases There is also strong potential in areas such as diabetes and cardiac disorders, as well as in pharmacogenomics to determine safety, efficacy and cost of care. New… Read more »

Paying Attention to the Quality Fields in ExAC: A Case Study

In the past couple of weeks, the topic of the Filter and Quality fields in the popular ExAC population catalog has come up a number of times. It turns out that unlike the 1000 Genomes project, which decided to very heavily filter their variant list to only contain variants they consider high quality, ExAC chose to include more dubious variants… Read more »

NGS-based Clinical Testing eBook

This generation of scientists, clinicians and bioinformaticians have already elevated the standards for diagnosis, prediction and care, ultimately improving patient outcome for millions of people by leveraging genomic information. This trend is only going to continue. Next-gen sequencing has made its way into the clinic. Golden Helix supports the adoption of Precision Medicine by building products, such as our VarSeq… Read more »

PhoRank in SVS: Gene Ranking for Your Research Genotypes

gene ranking

Since we released our Phenotype Gene Ranking algorithm in VarSeq, it has become a staple of the way people conduct their analysis. It allows for a combination of filtering with ranking to prioritize follow-up interpretations of analysis results. Our PhoRank algorithm will be available in our upcoming SVS release to also aid in the numerous research workflows performed on SNPs… Read more »

GWAS 3.0

      Andreas Scherer    February 7, 2017    No Comments on GWAS 3.0
GWAS eBook

Genome-wide association study (GWAS) technology has been a primary method for identifying the genes responsible for diseases and other traits for the past ten years. GWAS continues to be highly relevant as a scientific method. Over 2000 human GWAS reports now appear in scientific journals. In fact, we see its adoption increasing beyond the human-centric research into the world of… Read more »