Category Archives: Uncategorized

6 Population Catalogs Compared with the ExAC 61,486 Exomes

To say the announcement of Dan MacArthur’s group’s release of the Exome Aggregation Consortium (ExAC) data was highly anticipated at ASHG 2014 would be an understatement. Basically, there were two types of talks at ASHG. Those that proceeded the official ExAC release talk and referred to it, and those that followed the talk and referred to it. Why is this… Read more »

New Plugin for Ion Torrent Server

Golden Helix is proud to announce the release of the Golden Helix GenomeBrowse Plugin for Ion Torrent server. The new plug-in enables adding selected BAM files from Torrent Server reports directly into GenomeBrowse. The BAM files remain on the torrent server and are streamed from the server on demand using your credentials. This feature allows GenomeBrowse users to visualize genomic… Read more »

A new chapter for Golden Helix

      Delaina Hawkins    October 14, 2014    No Comments on A new chapter for Golden Helix

In our latest webcast (which introduced our newest product, VarSeq), Dr. Andreas Scherer, President and CEO of Golden Helix, announced the completion of 2 e-Books; one entitled Clinical Next-Gen Sequencing Analysis and one GWAS. Dr. Scherer published these e-books as part of Golden Helix’s continued effort to provide educational content to our clients and the genetic community as well as to put a… Read more »

Top 3 Most Viewed Tutorials from Golden Helix

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 »

Genomic Prediction and How it’s Used

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 »