Author Archives: Gabe Rudy

About Gabe Rudy

Meet Gabe Rudy, GHI’s Vice President of Product and Engineering and team member since 2002. Gabe thrives in the dynamic and fast-changing field of bioinformatics and genetic analysis. Leading a killer team of Computer Scientists and Statisticians in building powerful products and providing world-class support, Gabe puts his passion into enabling Golden Helix’s customers to accelerate their research. When not reading or blogging, Gabe enjoys the outdoor Montana lifestyle. But most importantly, Gabe truly loves spending time with his sons, daughter, and wife. Follow Gabe on Twitter @gabeinformatics.

  

A Hitchhiker’s Guide to Next Generation Sequencing – Part 2

When you think about the cost of doing genetic research, it’s no secret that the complexity of bioinformatics has been making data analysis a larger and larger portion of the total cost of a given project or study. With next-gen sequencing data, this reality is rapidly setting in. In fact, if it hasn’t already, it’s been commonly suggested that the… Read more »

A Hitchhiker’s Guide to Next Generation Sequencing – Part 1

If you have had any experience with Golden Helix, you know we are not a company to shy away from a challenge. We helped pioneer the uncharted territory of copy number analysis with our optimal segmenting algorithm, and we recently hand crafted a version that runs on graphical processing units that you can install in your desktop. So it’s probably… Read more »

Video Graphics and Genomics: A Real Game Changer?

Why should a genetic researcher care about the latest in video gaming technology? The answer is video graphics cards or Graphics Processing Units (GPUs). For certain computational tasks, a single GPU can perform as well as an entire cluster of CPUs for only a fraction of the cost. And because video gaming has grown into a highly competitive multi-billion dollar… Read more »

Enhanced ROH Analysis Improves Effectiveness to Identify Rare, Penetrant Recessive Loci

In the paper Runs of homozygosity reveal highly penetrant recessive loci in schizophrenia Dr. Todd Lencz introduced a new way of doing association testing using SNP microarray platforms. The method, which he termed whole genome homozygosity association, first identifies patterned clusters of SNPs demonstrating extended homozygosity (runs of homozygosity or “ROHs”) and then employs both genome-wide and regionally-specific statistical tests… Read more »