From pharmaceuticals to global health to the environment, twenty-first century life sciences companies are transforming into data-driven life sciences companies, leveraging vast amounts (and new forms) of data into processes that span from research and development to sales and marketing. As in many industries, the data is explosive: already the rate of data generation in the life sciences has reportedly exceeded that of even the predictions made by Mooreâ€™s Law itself, which predicts the steady continuance of technology capacity to double every two years. With every piece of detailed raw data now able to be affordably stored, managed, and accessed, technologies that analyze, share, and visualize information and insights will need to be ubiquitously operated at this scale too.
CIOs tell us that they simply do not have the right data to make decisions â€“ either they do not trust the data or it simply does not exist. For the CIO, data is everything. It should be easy to collect, easy to report and easy to use. We believe accurate data presented in a dashboard format helps you make swift decisions.
In this white paper we present an FPGA-based accelerated solution for DNA sequencing and dot plotting. We describe how multiple FPGA devices can be deployed to create a scalable cluster dedicated to the task of analyzing large amounts of data, and how this clustered hardware application can be connected to a software application for visualization and analysis.
Apple and Life Science Research: Enabling Technologies: IDC's Life Science Insights believes that Apple computer products are building upon the long-time loyalty of life science researchers and are attracting new users migrating from Unix and Linux platforms. This white paper, drawing on case study interviews, has identified the key reasons for the popularity of Apple products as well as key challenges for Apple users.