Category Archives: Best practices in genetic analysis

Compute Kinship Matrices & GBLUP on Very Large Sample Sets

Binary Data

Now available in SVS! Increasingly important in the analysis of the genotype to phenotype relationship is accurately accounting for the relatedness of samples. This is especially important to model correctly in plant and animal populations where man-directed breeding shapes the relationship structure. Along with trait association, one of the high-value use cases for genotyping animals and plants is to estimate… Read more »

Our 5 Most Watched Webcasts

      Mary Makris    July 21, 2016    No Comments on Our 5 Most Watched Webcasts
5 Most Watched Webcasts

Every month hundreds of clinicians and researchers access the variety of free resources on the Golden Helix website. Our resource library hosts eBooks, webcasts and tutorials to keep the community apprised of new methods, informed on best practices and to help our customers get the most out of their software purchase. Here is a list of the 5 most watched webcasts… Read more »

Variant Normalization: Underappreciated Critical Infrastructure

Variant Normalization

Variant Normalization: Underappreciated Critical Infrastructure It may surprise you to learn that every variant in the human genome has an infinite number of representations! Of course, although true, I’m being a bit hyperbolic to prove a point. Even seemingly simple mutations like single letter substitutions are legitimately represented differently in the local context of other mutations that can be described… Read more »

Bridging Two Worlds: Lifting Over Your Variants to GRCh38

GRCh38

When the new human reference genome was released over two years ago, it was hailed as a significant step forward for next generation sequencing. Compared to GRCh37, the new GRCH38 reference assembly fixed gaps, repaired incorrect sequences and offered access to sections of the genome that had been previously unaccounted for. Despite these improvements, adoption of the new assembly has… Read more »

CADD Scores: Rank and Filter in Harmony!

CADD Score

There used to be much energy expended at conferences, bioinformatics forums and even publications about what was the better strategy for interpreting variants of clinical significance: Rule-based filtering and classification mechanisms or rank-based prioritization through all-encompassing “pathogenicity” scores. Both have shown to be effective. Rule-based systems, as exemplified in this filtering diagram in Baylor’s ground-breaking paper on clinical whole-exome sequencing… Read more »