Prediction and Meta-Analysis

Date: Wednesday, May 13th, 2015

Presenter: Greta Linse Peterson, Director of Product Management & Quality

Duration: 60 Minutes



Prediction and Meta-Analysis


We are excited to announce and demonstrate some new and highly requested features in this webcast, including predicting phenotypes by applying existing GBLUP or Bayesian models and meta-analysis for GWAS studies.

Recently in SVS we added additional genomic prediction tools such as Bayesian Genomic Prediction and K-Fold Cross Validation. We have continued to build out the prediction suite of tools by adding the ability to apply the results of a model to a new genomic dataset to predict the phenotype. This is designed to work hand-in-hand with the output of K-Fold cross-validation using either GBLUP or Bayes C/C-pi.

Next we will provide a sneak-peak at the upcoming meta-analysis feature. This was one of the most requested features in our latest customer survey. Including this feature in SVS will combine the power of the numerous file imports and data visualization with the standard meta-analysis methods in use today.

Join us as we explore how these new features can stream-line your analysis and provide additional insight into your results.

About the Presenter

Greta Linse Peterson

Greta Linse Peterson is Golden Helix's Director of Services. Her main duty is managing the Field Application Scientist and Customer Support teams. Greta and her team are also responsible for software quality control, ensuring that the software releases are subject to the most rigorous testing protocols and for all the technical documentation and tutorials. Greta joined Golden Helix in 2008 when she completed her Masters degree in both Mathematics and Statistics at Montana State University in Bozeman. When Greta is not working, she enjoys spending time with her family and hiking the surrounding areas of Bozeman.