Life Science

The Life Science industries— pharmaceutical, biotech, agribusiness, medicine, nanotechnology and cosmetics—have different business models, markets, and product development lifecycles. However, you share a common challenge—how to examine, analyze, and transform data at the molecular level into commercial products or services. As mapping genetic material is a relatively recent invention, the creation of tools to support visualization and simulation is still in its early stages. While custom codes are common, even commercial or Open Source software tends to be incredibly specialized.

Molecular and cellular biologists, geneticists, chemists, and biochemists are using high performance computers to evaluate huge amounts of data using analysis programs, modeling tools, databases, and visualization software. Scientists collaborate with informaticists for scientific and computational assistance. Collectively, you draw upon work in pattern recognition, simulation science, knowledge discovery, data mining, statistics and information theory to create custom and commercial applications that advance common understanding and literally change the world.

We understand that you are facing a range of technical challenges including the integration of specialized databases and applications, the reconciliation of heterogeneous proprietary systems, and the need for high throughput computing as well as sufficient processing power for your HPC applications. Our goal is to help you leap the computational wall which prevents you from benefiting fully from your analyses. As pioneers of Linux HPC clusters, we can support you with specialized expertise, open source software and commodity hardware solutions.

Linux HPC Clusters are ideal for your collaborative work environment of scientists and informatic specialists. Linux is the natural platform for a field that benefits from and relies on shared insights. Clusters that can be easily expanded and shared among workgroups are the right tool for computational-intensive data such as DNA, RNA, protein, and regulatory elements. The huge data sets that you regard as routine are manageable. In the near future, parallelized versions of diverse application areas such as docking, genome assembly, and statistical genetics are expected. Laboratories equipped with clusters will be ahead of the power curve and ready to take advantage of new approaches.

As a systems administrator supporting such departmental installations, you need tools that can give you added capabilities for application installation and provisioning that will make life much easier for everyone as the compute load increases and the HPC user community expands.

As part of your vendor evaluation, our Penguin engineers will help you benchmark the performance of your specific applications and problems on our equipment. Our Professional Services Group can support you through installation, shakedown and on-going provisioning.