SciEngines in Life-Sciences / Bioinformatics
Already for a couple of years, and accelerated by the proliferation of Next-Generation-Sequencers, the volume of sequence databases has grown faster than improvements in computer speed. The computation time for sequence analysis, thus, has become a notable issue in the workflow of life science research, leading to significant delays or use of less-than-optimal tools to avoid such delays. As a solution to this problem, special purpose computers based on the technology of Field Programmable Gate Arrays (FPGA) can offer significantly better performance at lower cost than standard architectures, due to the data-types and calculation methods commonly employed in bioinformatics. With SciEngines' products, one can expect small data-center processing power at a fraction of the cost.
Additionally, also other application fields in life-sciences, e.g. all types of imaging or molecular modeling, can strongly benefit from the technology. Therefore, SciEngines is happy to provide its FPGA-based massively parallel computer RIVYERA, which enables unprecedented levels of speed and quality for life-science related calculations. Some implemented applications are described below as examples, but please don't hesitate to
to receive a free assessment of your application of interest.
For more information, please refer to the subsections (link):
Sequence Alignment (Algorithm: Smith-Waterman)
Motif Search (Algorithm: BMA)