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 »
The advances in DNA sequencing are another magnificent technological revolution that we’re all excited to be a part of. Similar to how the technology of microprocessors enabled the personalization of computers, or how the new paradigms of web 2.0 redefined how we use the internet, high-throughput sequencing machines are defining and driving a new era of biology. Biologists, geneticists, clinicians,… Read more »
When you think about the cost of doing genetic research, it’s no secret that the complexity of bioinformatics has been making data analysis a larger and larger portion of the total cost of a given project or study. With next-gen sequencing data, this reality is rapidly setting in. In fact, if it hasn’t already, it’s been commonly suggested that the… Read more »
If you have had any experience with Golden Helix, you know we are not a company to shy away from a challenge. We helped pioneer the uncharted territory of copy number analysis with our optimal segmenting algorithm, and we recently handcrafted a version that runs on graphical processing units that you can install in your desktop. So it’s probably no… Read more »
Why should a genetic researcher care about the latest in video gaming technology? The answer is video graphics cards or Graphics Processing Units (GPUs). For certain computational tasks, a single GPU can perform as well as an entire cluster of CPUs for only a fraction of the cost. And because video gaming has grown into a highly competitive multi-billion dollar… Read more »
