In my current position, I work to optimize and parallelize codes that deal with genomic data, e.g., DNA, RNA, proteins, etc.
Dr. Clay Breshears gives his thoughts about code modernization, and where he thinks that new technology is going.
Life Sciences simulation and modeling are breaking new ground in cancer research, drug development, patient screening, and visualization based on high-performance Intel® Xeon Phi™ processors and th
The ROME System was developed at the Dana Farber Cancer Institute and Harvard Medical School and funded in part by Intel® Parallel Computing Centers.
LAMMPS* 3D molecular dynamics simulations are used to analyze, visualize, and manipulate the high-resolution 3D molecular structure of proteins and simulate its movement and interaction.
This demo highlights research performed at Kyoto University Graduate School of Medicine with a dataset of more than 400 million proteins.
HPC resources add scale and power for clinical care and research that extends well beyond the drug development pipeline.
QIAGEN performs genome sequencing and analyzes the sequenced DNA to help identify patients who have variants of interest compared to a reference genome, and thus could have the protein that the cry