Variant normalization is essentially reducing the representation of a variant to its canonical representation. Variant normalization ensures that the way a variant is represented is parsimonious and left-aligned and can also refer to splitting variants into their allelic primitives. VarSeq normalizes variants by default, but we offer users the option to forego one or more aspects of variant normalization. This… Read more »
The last blog in this series covered streamlining variant analysis for large genetic cohorts, namely case-control studies, on a single-project basis. The reality when dealing with big data is that you often do not handle a high volume project all at once. Therefore, we will follow up on the topic of cohort analysis by discussing Golden Helix’s solution for streamlining… Read more »
Did you know you can control your preferred transcript settings for clinical interpretation in VSClinical? Your lab is analyzing the DNA of a tissue sample from a patient with small cell lung cancer. The lab technician has imported the patient data into VSClinical to detect clinically relevant variants and evaluate and score these according to the AMP Guidelines, as well… Read more »
