Golden Helix Newsletter

 
Yes, GenomeBrowse is completely free!
by Jessica Vionas, Marketing Coordinator

Last week I had the opportunity to attend my first ever ASHG conference in San Francisco. What an experience! It was a blast. And I especially appreciated being able to show off our new genome browser (GenomeBrowse) to researchers who have or were about to get their DNA-Seq and RNA-Seq BAM files. But what I heard over and over again was: "It's free? Really?"

You see, we put a lot of work into building GenomeBrowse to provide the most polished, fluid, easy-to-use experience possible.
GenomeBrowse
People immediately look for a price tag because they think there is no way it's free. But it is! So the next question is, of course, what's the catch? Continue reading »

To Find a Killer Variant: Successes and Challenges on the Journey to Mass Adoption of NGS in the Clinic
by Gabe Rudy, VP of Product Development
 
To find a variant killer

Recently, I have been spending some time analyzing real patient data. I'm preparing for a webcast I'll be giving in which I will walk through the process of replicating the findings of Dr. Gholson Lyon's study on the novel disease diagnosis he named Ogden Syndrome. Being so close to data that comes directly from clinical settings got me thinking about Gholson's original paper and subsequent editorial in Nature. The Ogden Syndrome paper was not only a great case study of using bioinformatic filtering to find a causal mutation with deadly consequences, Dr. Gholson Lyon also used it to make a statement. Continue reading »

Dr. Folefac Aminkeng Saves Time and Increases Productivity with SVS to Study the Pharmacogenomics of Adverse Drug Reactions in Cancer Therapy
 
Dr. Folefac Aminkeng

Dr. Folefac Aminkeng is a Postdoctoral Fellow at The Centre for Molecular Medicine and Therapeutics at the University of British Columbia in Vancouver, BC, Canada. He utilizes GWAS studies to identify SNPs that might be associated with serious adverse drug reactions (ADRs) in cancer therapeutics. Continue reading »
 
   Upcoming Webcast
@gabeinformatics:
23andMe Exome Sequence Analysis of My Personal Trio

DEC
5
  Wed, Dec 5
12:00 pm EST

Webcast Registration



   New SVS Script
Activate Variants by Sample Genotypes Get it »


   SNP-ITS
Fingerprint on the Cure with EA at ASHG
Golden Helix is proud to announce our participation in EA's 2012 "Leave Your Fingerprint on the Cure." This event took place at ASHG 2012 in San Francisco.
Continue reading »



Where will we see you?
Workshop: DNA/RNA Sequencing Genotype Analysis with Golden Helix
Roslin Institute, Edinburgh  |  Dec 6

International Plant & Animal Genome XXI
San Diego, CA  |  Jan 12-16



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Recent Customer Success Highlights

American Journal of Medical Genetics
Genetic variants in the catechol-o-methyltransferase gene are associated with impulsivity and executive function: Relevance for major depression
Pap, D et al.
Semmelweis University, Budapest, Hungary
Read the article »

Cancer Research
Genome-wide association study reveals novel genetic determinants of DNA repair capacity in lung cancer
Wang, L et al.
MD Anderson Cancer Center, Texas
Read the article »

Journal of Animal Breeding and Genetics
Estimates of autozygosity derived from runs of homozygosity: empirical evidence from selected cattle populations
Ferencakovic, M et al.
University of Zagreb, Croatia
Read the article »


 
About Golden Helix
Founded in 1998, Golden Helix is known for helping genetic research groups working with large-scale DNA-sequencing or microarray data overcome the frustration and challenges of bioinformatic roadblocks: delayed projects, lack of quality findings, and low productivity. By empowering researchers with highly effective software tools, world-class support, and an array of complementary analytic services, we refute the notion that analysis has to be difficult or time consuming. Golden Helix's flagship software product, SNP & Variation Suite (SVS), is an integrated collection of powerful data management, quality assurance, visualization, and tertiary analysis tools for genetic data. SVS is delivered in a user-friendly, scalable platform and is supported by a team of highly trained bioinformaticians, statistical geneticists, and computer scientists that together make advanced statistical and bioinformatic methods accessible to scientists of all levels.

 



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