Innovation for Tomorrow and the day after.

Biotechnology organizations are heavily reliant on information technology. These organizations can expeditiously complete sequential analysis of genetic data and other computation intensive tasks only by utilizing distributed computing resources.

Our online consolidation and analytical tools and solutions enable organizations to fully utilize their distributed computing resources -- workstations and servers, as well as the applications that run on them -- so that they can accurately and rapidly perform rigorous computational analyses. The result is not only unprecedentedly accurate analytical computations, but also much quicker progress on the road toward mapping of the human genome and other groundbreaking scientific advances.

The Human Genome Project: Computing is Critical

As the complexity and scale of biomedical research increases, biotechnology companies are rapidly supplanting traditional scientific methods with information technology (IT). The Human Genome Project -- a 15-year effort coordinated by the U.S. Department of Energy and the National Institutes of Health to identify all the estimated 80,000 genes in human DNA, and to determine the sequences of the 3 billion chemical bases that make up human DNA -- involves the compute-intensive storage of relevant information in databases and the development of sophisticated tools for data analysis. One of the most complex undertakings in the history of medical research, the Human Genome Project requires powerful systems to conduct the research process and allow scientists to store, retrieve, and analyze data. A major challenge facing genomics researchers is access to comprehensive and reliable genetic information. This information is often spread across databases both in the public domain and private laboratories worldwide. The disparate nature and sheer volume of data mean that researchers often have to search multiple databases for information. Invariably, these searches are incredibly time-consuming.

In this space, Aaramb is involved in research for a critical enabling technology for biotechnology concerns in the race to map the Human Genome.

Aaramb Research to provide Critical Enabling Technolgy:

Due to the unprecedented growth in the quantity and diversity of biological information, bioinformatic research labs' requirement for computing power has grown exponentially. Until recently, the labs have struggled with limited processing power to do the compute-intensive comparisons needed to match genetic and molecular information with known genetic material housed in large-scale databases.

Using powerful computer hardware and software, bioinformatic researchers, who mix sophisticated computer expertise and medical science, are working to crack the human genetic code to better understand basic biological processes in the body and ultimately determine what causes biological malfunction and disease. As the preceding examples attest, Aaramb is engaged in research in enabling that work to be done more efficiently and productively.