Author Archives: Aidan Bickford

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About Aidan Bickford

Aidan Bickford is a Software Engineer who joined the Golden Helix Team in the spring of 2014. Aidan works on product development, architecture, and integration. Aidan has a Masters in Computer Science from Montana State University. When not working, Aidan enjoys mountain biking, skiing, and French crime novels.

Automating Clinical Workflows Part 3

In the previous two articles, we explored the different steps of a clinical workflow. The first post covered the automated analysis that creates a VarSeq project. While the second post covered the interpretation steps and generation of a clinical report. These posts illustrated the ease with which these complex tasks can be carried out. Today we’ll dig a little bit… Read more »

Automating Clinical Workflows Part 2

In the previous blog post, we covered the automated steps to create a VarSeq project. Today we will examine the active analysis steps. These are the steps that require human interpretation to analyze the clinically relevant variants. A lab tech can take the first pass at the output in the generated VarSeq project. They can perform the quality control and… Read more »

Automating Clinical Workflows Part 1

Automating a clinical workflow creates a stable and repeatable clinical analysis. Automation reduces the potential to introduce human error, helps in regulatory compliance, and improves the precision of the clinical results. It is important to know that if you run a sample through your clinical pipeline, you are going to get the same results today as you will in 6… Read more »

VSPipeline Tips and Tricks

VSPipeline Tips & Tricks

The power of VSPipeline is in it’s ability to automate VarSeq workflows. Using VarSeq to create a pipeline template is great because it allows you to dial in the applied filters as well as interactively organize the annotations and applied algorithms. Automating a workflow with VSPipeline is  straightforward when beginning with an existing project. However, there are several steps that… Read more »

Quality Assurance Sample Statistics Added To VarSeq

VarSeq

As VarSeq continues its adoption amongst clinical labs and researchers looking for reproducible workflows for variant annotation, filtering and interpretation, we have continued to prioritize the addition of features to assess the quality of the upstream data at a variant, coverage and now sample level. The  Importance of Quality Assurance Sample prep and sequencing problems are difficult to detect through the analysis… Read more »