Tag Archives: SVS

Recent Customer Success

      Delaina Hawkins    May 30, 2017    No Comments on Recent Customer Success

As usual, we would like to share some of the articles that our clients have published recently citing our software. These articles are incredibly diverse and interesting, and we hope you enjoy browsing through them. Fielding Hejtmancik and Lin Li of the NIH-NEI and colleagues published Homozygosity Mapping and Genetic Analysis of Autosomal Recessive Retinal Dystrophies in 144 Consanguineous Pakistani… Read more »

Recent Publications from SVS Users

customer

We had lots of customers publish their work using our SVS software, and I wanted to share their work with you. Congrats to all! Here are some of the highlights: Francesca Fernandez of the University of Wollongong along with colleagues published Effects of common GRM5 genetic variants on cognition, hippocampal volume and mGluR5 protein levels in schizophrenia in Brain Imaging and… Read more »

PhoRank in SVS: Gene Ranking for Your Research Genotypes

gene ranking

Since we released our Phenotype Gene Ranking algorithm in VarSeq, it has become a staple of the way people conduct their analysis. It allows for a combination of filtering with ranking to prioritize follow-up interpretations of analysis results. Our PhoRank algorithm will be available in our upcoming SVS release to also aid in the numerous research workflows performed on SNPs… Read more »

Massive Variant Boost to ClinVar & PubMed Citation Fields

ClinVar

It may have been easy to miss in the drum-beat of monthly annotation updates we do here at Golden Helix, but there are a couple of things that are very special about the January update to the ClinVar database: We added new fields including HGVS names of variants and citations in PubMed for variants ClinVar nearly doubled in size by… Read more »

Determining the best LD Pruning options

LD Pruning

Pruning your data based on Linkage Disequilibrium (LD) values is an important quality assurance step for GWAS analysis. In particular, some tests such as Identity by Descent Estimation (IBD), Inbreeding Coefficient Estimation (f) and Principal Component Analysis (PCA) will obtain better results if the markers used are not in linkage disequilibrium with each other. Therefore, Golden Helix’s SVS provides the… Read more »