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 »

Getting Your Research Questions Answered Quickly with the Various Golden Helix Support Mediums

From the Customer Support Desk… At Golden Helix, we place a strong emphasis on customer support and helping our customers use the software to the best of their abilities to answer any research questions they have. Due to such a strong emphasis on customer and technical support, there are numerous sources of help available. These include the low tech option… Read more »

ANOVA, Nonparametric Tests, and More Added to SVS via New Python Capabilities

Our recent blog post about the release of  SNP & Variation Suite v7.4 gave you a sneak peek into what can be achieved with the revamped SVS/Python integration, which includes the incorporation of NumPy and SciPy libraries and new graphical layout capabilities. A Python package (such as SciPy) is similar to an R package, which you may be more familiar… Read more »

Recent Publications on Asthma, Schizophrenia, Peripheral Neuropathy, Rheumatoid Arthritis, Alzheimer Disease, and Esophageal Cancer

As you may have guessed from the title of this post, we’ve had a lot of customers publishing in the first six weeks of 2011. We are always excited to hear about about our customers’ findings and how they were able to use SNP & Variation Suite to accelerate their research. (All abstracts below.) First, in the pharma world, congrats… Read more »

Checking Relatedness and/or Inbreeding in Samples as a Quality Assurance Measure

James' whiteboard with IBD calculations

Almost every statistic that is used for significance testing in scientific research comes with a set of assumptions. If the test is applied to data that does not meet those assumptions, then the results of the test may not be valid. The statistics commonly used in genome-wide association studies (GWAS), such as the Fisher’s Exact Test or the Chi-Square Test,… Read more »