Tag Archives: Golden Helix

Learning vs. Doing (or why that Ph.D. took 10 years)

         August 15, 2012

What prevents scientists from being more productive and if we knew, could we do anything about it? I’d like to look at an often overlooked, but huge productivity inhibitor — bad multitasking. Many people put “excellent multitasker” on their resume as a badge of honor. We laud the efficiency of a good multitasker — they are rarely idle — someone… Read more »

One Track to Rule Them All: Close but not quite from the 1000 Genomes Project

         July 31, 2012

I recently curated the latest population frequency catalog from the 1000 Genomes Project onto our annotation servers, and I had very high hopes for this track. First of all, I applaud 1000 Genomes for the amount of effort they have put in to providing the community with the largest set of high-quality whole genome controls available. My high hopes are… Read more »

Have We Wasted 7 Years and $100 Million Dollars on GWAS Studies?

         June 21, 2012

Type 2 Diabetes, Rheumatoid Arthritis, Obesity, Chrohn’s Diseases and Coronary Heart Disease are examples of common, chronic diseases that have a significant genetic component. It should be no surprise that these diseases have been the target of much genetic research. Yet over the past decade, the tools of our research efforts have failed to unravel the complete biological architecture of… Read more »

Learning From Our GWAS Mistakes: From experimental design to scientific method

         March 7, 2012

This month Biostatistics published online an open access article I co-authored with Dr. Laura Black from Montana State University: “Learning From Our GWAS Mistakes: From Experimental Design To Scientific Method.” The paper version is expected to come out in the April 2012 issue. I’m hoping that you will take the time to read it. And I’m hoping you will violently… Read more »

Introducing SVS 7.6!

         February 15, 2012

It’s that time again! We here at Golden Helix are excited to announce SVS 7.6 with more features for DNA-Seq analysis, the addition of RNA-Seq functionality, reorganization of SVS into “packages” including two new ones, and the release of new plot types enabled by Matplotlib. It’s certainly been busy as we pack all this into the sixth installment of the… Read more »

“Dammit Jim, I’m a doctor, not a bioinformatician!”

         May 12, 2011

Academic Software, Productivity, and Reproducible Research httpv://www.youtube.com/watch?v=pGMLCxKPMSE&NR=1 Do you ever feel like Dr. McCoy on Star Trek, where your job and expertise is to do x, but to achieve your goals you also have to do y and z, which you either don’t want to do or don’t have the skills to do? Genetic researchers are faced with this every… Read more »

Missing Heritability and the Future of GWAS

         August 26, 2010

“Where is the missing heritability?” is a question asked frequently in genetic research, usually in the context of diseases that have large heritability estimates, say 60-80%, and yet where only perhaps 5-10% of that heritability has been found. The difficulty seems to come down to the common disease/common variant hypothesis not holding up. Or perhaps more accurately, that the frequency… Read more »

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

         July 22, 2010

In the paper Runs of homozygosity reveal highly penetrant recessive loci in schizophrenia, Todd Lencz, Ph.D. 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 »