Category Archives: Assessment of new methods

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

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 »

Sequence Analysis Methods Not Just for Sequence Data

Speaking as somebody with a long history in data analysis, there are few things I find more exciting and tantalizing than new analysis methods that might apply to a problem I am trying to solve or was unable to solve in the past.  Whenever I make a breakthrough in one project, I find I want to abandon the current project… Read more »

Increase Power and Data Quality with Advanced Genotyping and Imputation Methods

Accuracy and completeness of genotype data are among the most important factors for a successful genome-wide association study (GWAS), and must not be taken lightly.  The Golden Helix team is always on the lookout for methods to improve data quality, and we have recently found the BEAGLE and BEAGLECALL software packages to be very useful in this regard.  BEAGLE is… Read more »

Enhanced ROH Analysis Improves Effectiveness to Identify Rare, Penetrant Recessive Loci

In the paper Runs of homozygosity reveal highly penetrant recessive loci in schizophrenia Dr. Todd Lencz introduced a new way of doing association testing using SNP microarray platforms. The method, which he termed whole genome homozygosity association, first identifies patterned clusters of SNPs demonstrating extended homozygosity (runs of homozygosity or “ROHs”) and then employs both genome-wide and regionally-specific statistical tests… Read more »