The adoption of genetic services is key to our ability to provide personalized medicine in the future. The goal is to better diagnose diseases, predict their outcomes, and to choose the best possible care option for a patient. Our part here at Golden Helix is to essentially build the equivalent of an MRI for the genome. In this process the latest… Read more »
With ASHG only four weeks away, the hype has only continued to grow. The 64th Annual Meeting of the American Society of Human Genetics is shaping up to be one of the best with some amazing abstracts, including one from our very own Greta Linse Peterson. Greta will be presenting Monday, October 20th in room 20A at 6:15 PM in… Read more »
Late last month I had the opportunity to attend one of my favorite events: the annual meeting of the International Genetic Epidemiology Society (IGES). This year’s conference was held in Vienna, in conjunction with the Genetic Analysis Workshop (GAW) and the International Society for Clinical Biostatistics (ICBS). The program at IGES this year was very diverse, with content ranging from… Read more »
Tutorials are ever-present in the world today, and for good reason. Why struggle through a complicated process yourself, when there is already a guide established to assist? While no one would suggest that a tutorial is the only way to complete a project, it is certainly a nice starting point. This rings true with genetic software as well. There are… Read more »
SVS offers options for performing many different QC functions on genomic data. This blog takes you through some of the most commonly applied filters for various analysis types. Filters for GWAS data vary depending on the type of association tests you are performing. A typical GWAS for a common variant usually requires filters to remove problematic or poorly called variants,… Read more »
We had a lot to celebrate recently. Last year was the 300th anniversary of Jacob Bernoulli’s Ars Conjectandi. In this book he consolidated central ideas in probability theory, such as the very first version of the law of large numbers. It was also the 250th anniversary of Bayes theorem named after Thomas Bayes (1701–1761), who first suggested using the theorem to update beliefs.
I’m sitting in the Smithsonian Air and Space Museum basking in the incredible product of human innovation and the hard work of countless engineers. My volunteer tour guide started us off at the Wright brother’s fliers and made a point of saying it was only 65 years from lift off at Kitty Hawk to the landing of a man on the moon…. Read more »
Genomic research is exploding. There is a plethora of new methods and workflows for research and clinical use. While we are a software company at heart, we find ourselves in the role of educators. Our customer interactions are about informing, teaching, and consulting. A few years back, we started with regular webcasts that took this idea to the next level…. Read more »
Golden Helix is excited to host a webinar on Tuesday August 26th discussing the Genomic Prediction methods which were recently integrated into the SVS software. Genomic prediction uses several pieces of information when calculating its results. Genetic information is used to predict the phenotype or trait for the individuals. The phenotypic trait data can be provided for a subset or for all… Read more »
Over the last decade, DNA sequencing has made vast technological improvements. With the cost of sequencing decreasing significantly, sequencing technology has become a product for the masses. The sequencing technology and programs that were once used exclusively by major research institutions are now becoming available in many research facilities around the globe. These tools produce large amounts of data sets… Read more »
You probably haven’t spent much time thinking about how we represent genes in a genomic reference sequence context. And by genes, I really mean transcripts since genes are just a collection of transcripts that produce the same product. But in fact, there is more complexity here than you ever really wanted to know about. Andrew Jesaitis covered some of this… Read more »
For the SVS 8.2 release we decided to improve upon the existing ROH feature. The improvements include new parameters to define a run and a new clustering algorithm to aide in finding more stringent clusters of runs. The improvements were motivated by customer comments and a recent research paper by Zhang 2013, “cgaTOH: Extended Approach for Identifying Tracts of Homozygosity,”… Read more »
Earlier this year we completed the marriage of SVS and GenomeBrowse. When we released Version 8 of SVS we completed a major engineering task. A lot of things under the hood of both products had been changed to create a seamless experience for our users. The new and improved SVS platform is based on a technology stack that allows us… Read more »
“Who has ever had a bad experience with a VCF file?” I like to ask that question to the audience when I present data analysis workshops for Golden Helix. The question invariably draws laughter as many people raise their hands in the affirmative. It seems that just about everybody who has ever worked VCF files has encountered some sort of… Read more »
Drumroll, please! Voting has come to a close for the 2014 Golden Helix T-shirt contest, and there were some clear favorites among the finalists. We are very excited at the wealth of creativity that came forward with this contest and are happy to announce that our final decisions have been made.
Genetic improvement in livestock, particularly dairy cattle, has been a priority for both industry and researchers for nearly a century. While the animal itself is the foundation for improvement, our research and the implementation of improvement has progressed with developing technologies and priorities. In terms of genetics, we have evolved from basic measures of heritability to identifying specific mutations and… Read more »
Last month, June 2014, we announced a new method that Golden Helix developed–the soon to be available MM-KBAC. MM-KBAC, or Mixed Model Kernel Based Adaptive Clustering combines the KBAC method developed by Lui and Leal (2010) with a random effects matrix to adjust for relationships between samples. The KBAC algorithm takes a binary dependent variable and transformations are used to convert… Read more »
With the t-shirt submission deadline behind us, it’s time for the exciting part of the contest – picking the winners! We received a ton of fantastic designs and had a hard time narrowing them down. But, the Golden Helix team has picked seven designs that truly embody the Golden Helix spirit.
We released GenomeBrowse 2.0 earlier this year, allowing users to review all types of genomic data. Since then, it has received rave reviews from thousands of users around the world. Essentially, it’s the Google Earth app for genomic data. GenomeBrowse allows a user to sift through vast amounts of genomic data, and make it easy to focus on a single part… Read more »
It is with great excitement that we introduce our next webcast: Population Structure & Genetic Improvement in Livestock, presented by Dr. Heather J. Huson of Cornell University. Huson was one of the first place winners in this year’s research abstract competition. As part of the competition Huson has the opportunity to present her research in a webcast on Tuesday July… Read more »
