Tag Archives: Golden Helix

Question and Answers: Cancer Gene Panels Webcast

         March 17, 2015

Last week we conducted a webcast on “Cancer Gene Panels”; you can find the recording here. We had some excellent questions which we answered during the webcast and a few more that we didn’t get to in the allotted time. Please find answers to those questions here: 1. Are Cancer Gene Panels just another stepping stone on the way to… Read more »

TriCon 2015

         February 24, 2015

TriCon 2015 was well worth the visit to San Francisco. The combination of extensive programming in conjunction with a large exhibition makes it a must-attend event for scientist and professionals in our industry and the conference seems to grow year after year.  This year, we paid a lot of attention to the Clinical Sequencing portion of the event. In this track,… Read more »

Final Thoughts on PAGXXIII

         January 22, 2015

The Plant & Animal Genome XXIII Conference (PAG) was again a success. It’s the venue for leading genetic scientists and researchers involved in plant and animal research to meet with their peers. If anything the event continues to grow. The largest population of registrations tend to be from an Academic background (64%), with Industry (25%) and Government (11%) sectors comprising… Read more »

Entering the Clinical Testing Market with VarSeq

         September 25, 2014

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 »

Leveraging SVS for NGS Workflows

         August 19, 2014

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 »

And the winners are…

         August 1, 2014

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.

The added value of GenomeBrowse

         July 17, 2014

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 »

The New Human Genome Reference and Clinical Grade Annotations: It’s All About the Coordinates

         February 17, 2014

On my flight back from this year’s Molecular Tri-Conference in San Francisco, I couldn’t help but ruminate over the intriguing talks, engaging round table discussions, and fabulous dinners with fellow speakers. And I kept returning to the topic of how we aggregate, share, and update data in the interest of understanding our genomes. Of course, there were many examples of… Read more »

All I Want for Christmas Is a New File Format for Genomics

         December 16, 2013

Tis the season of quiet, productive hours. I’ve been spending a lot of mine thinking about file formats. Actually, I’ve been spending mine implementing a new one, but more on that later. File formats are amazingly important in big data science. In genomics, it is hard not to be awed by how successful the BAM file format is. I thought… Read more »

Comparing BEAGLE, IMPUTE2, and Minimac Imputation Methods for Accuracy, Computation Time, and Memory Usage

         July 17, 2013

Genotype imputation is a common and useful practice that allows GWAS researchers to analyze untyped SNPs without the cost of genotyping millions of additional SNPs. In the Services Department at Golden Helix, we often perform imputation on client data, and we have our own software preferences for a variety of reasons. However, other imputation software packages have their own advantages… Read more »

More Mixed Model Methods!

         June 6, 2013

Thanks to everyone for the great webcast yesterday. We had over 850 people register for the event and actually broke the record! Take that Bryce and Gabe! If you would like to see the recording, view it at: Mixed Models: How to Effectively Account for Inbreeding and Population Structure in GWAS. While preparing for this webcast, we chose to focus… Read more »

The Murky Waters of Variant Nomenclature – You Could Be Missing Vital Information

         May 6, 2013

When researchers realized they needed a way to report genetic variants in scientific literature using a consistent format, the Human Genome Variation Society (HGVS) mutation nomenclature was developed and quickly became the standard method for describing sequence variations. Increasingly, HGVS nomenclature is being used to describe variants in genetic variant databases as well. There are some practical issues that researchers… Read more »

The State of NGS Variant Calling: DON’T PANIC!!

         March 25, 2013

I’m a believer in the signal. Whole genomes and exomes have lots of signal. Man, is it cool to look at a pile-up and see a mutation as clear as day that you arrived at after filtering through hundreds of thousands or even millions of candidates. When these signals sit right in the genomic “sweet spot” of mappable regions with… Read more »

Population Structure + Genetic Background + Environment = Mixed Model

         March 22, 2013

A few months ago, our CEO, Christophe Lambert, directed me toward an interesting commentary published in Nature Reviews Genetics by authors Bjarni J. Vilhjalmsson and Magnus Nordborg.  Population structure is frequently cited as a major source of confounding in GWAS, but the authors of the article suggest that the problems often blamed on population structure actually result from the environment… Read more »

What Can Exomes Tell Us About the Pathology of Complex Disorders?

         February 26, 2013

My investigation into my wife’s rare autoimmune disease I recently got invited to speak at the plenary session of AGBT about my experience in receiving and interpreting my Direct to Consumer (DTC) exomes. I’ve touched on this before in my post discussing my own exome and a caution for clinical labs setting up a GATK pipeline based on buggy variants… Read more »

Is Illumina Aiming to Compete with its Customers?

         February 12, 2013

In a recent GenomeWeb article by Tony Fong, “Sequenom’s CEO ‘Puzzled’ by Illumina’s Buy of Verinata, Lays out 2013 Goals at JP Morgan,” Harry Hixson, Sequenom’s CEO, expresses puzzlement over why its major supplier, Illumina, is acquiring a Sequenom competitor in Non-Invasive Prenatal Testing (NIPT), and thus apparently competing with one of its major customers. In a JP Morgan interview… Read more »

GATK is a Research Tool. Clinics Beware.

         December 3, 2012

In preparation for a webcast I’ll be giving on Wednesday on my own exome, I’ve been spending more time with variant callers and the myriad of false-positives one has to wade through to get to interesting, or potentially significant, variants. So recently, I was happy to see a message in my inbox from the 23andMe exome team saying they had… Read more »

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 »