Genome Studies: High Performance Genome Analysis at Scale

GWAS (Genome wide association study)

Genome wide association study is an approach that involves rapidly scanning markers across complete sets of DNAs, or genomes of many people to find differences associated to a particular type of disease. Once new differences are identified then they are analysed by the researches and try to find cure for those variations.

This study will be a boon to medical industry as we can develop customized medicines depending on the factors that are affecting the subject reducing the risk of side effects and increasing the effectiveness.

How is the study done?

Generally, the blood samples of two similar bodies are taken in which one is affected with disease and then the blood samples are torn into pieces where we collect the DNA of the subject and study the structure and find SNP’s then those gaps are studied thoroughly, and a solution is drawn.

This process requires high amount of man power and is cost affective, this even require precision as even one small calculation error can cost our lives.

Our solution

Generally, the blood samples of two similar bodies are taken in which one is affected with disease and then the blood samples are torn into pieces where we collect the DNA of the subject and study the structure and find SNP’s then those gaps are studied thoroughly, and a solution is drawn.

This process requires high amount of man power and is cost affective, this even require precision as even one small calculation error can cost our lives.

GPU

We use CUDA libraries to leverage GPU acceleration and harnessing the enormous computing power of Nvidia’s graphics processing units. Our tools are built to run on a GPU cluster and try to exploit the massively parallel architecture of GPUs. OpenMPI and Nvidia’s NCCL, NVBLAS libraries have been used to achieve this feat. We also support OpenCL platform using ArrayFire’s OpenCL backend.