Author Archives: Julia Love

Julia Love

About Julia Love

Julia Love is a Field Application Scientist at Golden Helix, joining the team in June of 2019. Julia graduated from Kennesaw State University with a bachelor's degree in Biology, followed by earning a master's degree in Molecular Biology with a focus in Neuroscience from Boise State University. When Julia is not providing support and training to Golden Helix customers, Julia enjoys backpacking, canoeing, and spending time with friends and family.

Genome Wide Association Tests and Mixed Linear Models in SVS

         May 19, 2020
SVS 8

SVS offers several options to conduct genome wide association tests and mixed linear models. At times, it can be challenging to decide which test, model, or adjustments to use when setting up your analysis. I want to briefly explore the options available in SVS for association tests, and mixed linear models to hopefully facilitate in understanding and choosing which options… Read more »

Webcast Recap: Using Varseq Templates to Advance and Customize Variant Analysis

         April 9, 2020

Thank you to everyone who joined me for yesterday’s webcast, I hope you all enjoyed it. If you missed the live event and are interested in knowing what we talked about, good news, you can watch the recorded version right here! There were so many great questions asked during our Live Q&A that I was unable to answer all of… Read more »

Upcoming Webcast: Using Varseq Templates to Advance and Customize Variant Analysis

         March 23, 2020

Golden Helix ships a variety of templates that are designed to provide a starting point for users to evaluate variants in VarSeq. Naturally, as users become more familiar with the software, there is a desire and necessity to tailor the template design to accommodate a more thorough variant analysis. To add to these template customizations there are several algorithms and… Read more »

VarSeq Cancer Gene Panel Tutorial

         March 3, 2020
annotate

At Golden Helix, we want our new users to hit the ground running with VarSeq and not spend oodles of time getting started building and automating their workflows. To achieve this goal, our team has generated blogs, webcasts, and tutorials that explain and demonstrate workflows that are possible with VarSeq. Each VarSeq tutorial offers step by step instruction in which… Read more »

Updated GRCh38 VarSeq Project Templates

         February 4, 2020

As many of our users know, VarSeq comes shipped with various project templates that are designed to give users a baseline workflow to get started with their projects. These templates are tailored for various applications including tumor-normal, trios, cancer and hereditary gene panels, and ACMG Guidelines workflows. The templates contain application-specific annotation sources and algorithms that will automatically load into… Read more »

Simplify Your GWAS & Genomic Prediction with SVS

         November 15, 2019
Genome-Wide Association Studies

SVS is a project-oriented program that manages and analyzes genomic datasets. This webcast statistically and visually explores the relationships among genetic variants within a cattle dataset. Even further, this webcast evaluates genotypes with corresponding phenotypes to assess how well a model can predict a phenotype of interest. Starting with genotypic data from the microarray and the recorded phenotypic data for… Read more »

Variant Interpretation with VSClinical: Huntington’s Disease (HD)

         August 12, 2019

Huntington’s Disease (HD) Background Huntington’s Disease (HD) is an autosomal dominant neurodegenerative disease that is caused by a mutation in the huntingtin (HTT) gene resulting in 36 or more CAG trinucleotide repeats in exon 1. Individuals affected by HD experience motor disorders including involuntary movements and poor coordination, cognitive impairments showing a decline in thinking and reasoning and psychiatric disorders… Read more »