Computational Biology ----- Biology is flying with IT

Biology underlies all the life sciences, but historically it has been more of a descriptive than quantitative science. Today, however, computational approaches dramatically increase the potential to learn and understand the complex relationships within and between the subsets of biology (biological response, biodiversity, genetics, medicine, etc.).

Computational Biology represents the marriage of Information Technology (IT) and biology, and spans many disciplines, such as bioinformatics (both genomics and post-genomics), molecular modeling, bioengineering, biosimulation, clinical informatics, medical imaging, and many others. While genomics research brought a face to Computational Biology, it also brought with it a set of new and more difficult challenges such as:

• A collision of paradigms giving rise to data overload,


• Data interoperability problems, and


• The need for widely distributed data and computing resources to solve certain problems.

Continue to read 'Computational Biology: the Marriage of IT and Biology' , which bring a new face for the computational biology in relation to the Sun technologies. I think that it will give you a practical review about computational biology.

Sun also has Communities of Interest for Computational Biology, which provide a open platform for researchers, scientists, and partners. The most valuable part in this platform, I think, is Partnerships Program which is composed of three parts: Centres of Excellence, External Research Office and Asia Pacific Science and Technology Centre. It gives out large loads of information, developments, trends, and resources of computational biology with high-advanced Sun technologies.