Category Archives: Technology review

DNA Variant Analysis of Complete Genomics’ Next-Generation Sequencing Data

As I’ve mentioned in previous blog posts, one of the great aspects of our scientific community is the sharing of public data. With a mission of providing powerful and accurate tools to researchers, we at at Golden Helix especially appreciate the value of having rich and extensive public data to test and calibrate those tools. Public data allow us to… Read more »

SVS 7.5 Feature Sneak Peek: Grouping and Filtering in the Genome Browser

Ever since the release of SNP & Variation Suite (SVS) 7.4 back in January, our software engineers have been hard at work developing new functionality for the next version, to enable researchers to have even more control over their data. (Okay, well really, they started working on it before 7.4 even came out.) While the full details of 7.5 are… Read more »

NGS Tools and Formats for Secondary Analysis: A Primer

In a series of previous blog posts, I gave an overview of Next Generation Sequencing trends and technologies. In Part Two of the three part series, the range of steps and programs used in the bioinfomatics of NGS data was defined as primary, secondary and tertiary analysis. In Part Three I went into more details on the needs and workflows… Read more »

I Want a GPU for Computational Analysis! Which One Should I Get?

A GPU can produce an enormous boost in performance for many scientific computing applications. Since we announced the availability of SNP & Variation Suite’s incorporation of GPUs to dramatically speed up copy number segmentation, we’ve received numerous inquiries on recommendations for what GPU to purchase. Unfortunately the technical terminology and choices can be a bit confusing. In this article I… Read more »

Updates to CNAM Make SVS the Fastest and Most Accurate Copy Number Tool for Common and Rare CNVs

A recent email from a user of SVS: “Your CNAM Optimal Segmentation algorithm is by far the best I ever used and believe me, I’ve tried many. Great use of the GPU for segmentation – it is 3x faster than using my 8 CPUs alone and 25x faster compared to 1 CPU.” SNP & Variation Suite (SVS) version 7.4 introduced… Read more »