A recent project at the Ohio State University sought to remove key barriers to effective, timely bioinformatics research via a cloud project designed to cull and ‘translate’ data for more rapid analysis and use.
Last week at their eScience Workshop at the University of California, Berkeley Microsoft Research announced two key technological progress points related to their Azure cloud. The advancements are currently serving researchers in ecological studies as well as biology and further demonstrate the potential of their cloud offering in further scientific computing projects.
A chat with Paul Rejto, head of Computational Biology at Pfizer Oncology.
Tahoe Informatics founder eyes GPUs, CUDA software.
As high performance computing vendors polish their server and workstation portfolios with the latest multicore CPU and GPGPU wonders, Pico Computing is quietly making inroads into the HPC application space with its FPGA-based platforms. By picking the spots where reconfigurable computing makes the most sense, the company is looking to leverage its scalable FPGA technology to greatest effect.
A bioinformatics scientist looks beyond the Linux cluster.
NVIDIA has announced the Tesla Bio Workbench, a new program designed to bring together the computational components needed to run GPU-accelerated bioscience applications. The rationale is the same one NVIDIA’s been touting ever since it got into the high performance computing business: take advantage of the superior performance of the GPU in order to lower the entry point for HPC.
The popularity of cloud computing in the life sciences community was on full display at April’s Bio-IT World conference.
Cloud computing is finding new friends every day. Biotech firm Pathwork Diagnostics is now using Amazon’s EC2 platform to perform sophisticated gene expression analytics for cancer classification.
Modeling and simulation in the biopharma industry remains underutilized. But what would encourage management to take the technology more seriously?