Informatics
Semantic technologies allow different conceptual domains to work together as a network
a High Performance Computing infrastructure has been significantly changed from weeks to minutes, and doesn’t require IT staffing anymore, since it is all offered as an external service. From a financial perspective the model is attractive. Instead of spending six or more digits capital investment dol- lars after a lengthy budget and planning process, you now align your budget using operational costs with the pay-as-you-go pricing model and stop paying for equipment that sits idle between exper- iments. The cloud has the potential to be the best new development going mainstream for scientific researchers. Access to an almost unlimited amount of computer power to achieve scientific calcula- tions and text searches, combined with an almost unlimited size of disk space for an affordable price. If you want to read more about new innovations in cloud computing, visit Amazon’s cloud website at
http://aws.amazon.com/what-is-aws/. Licensing software in the cloud is different than traditional software licensing. A traditional soft- ware purchase involves, in many cases, a capital investment and comes with an annual mainte- nance and support plan. The SaaS model is solely based upon an operational cost model with monthly or annual subscription fees with all main- tenance and support services included. No hidden costs. No surprises.
What’s in it for me?
the cycle, without computational infrastructure, significantly accelerates new innovations.” The Azure Research Engagement project aims to change the paradigm for scholarly and scientific research by extending the power of the computer into the cloud (
http://research.microsoft.com/en- us/projects/azure/).
Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides resizable computing capacity in the cloud. It is designed to make web- scale computing easier for developers. It is a popu- lar service to create scalable and highly available IT infrastructures which can store, compute and share multiple terabytes of data. The effort to build such
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Now we can focus on how these new technology breakthroughs can help to increase discovery research, create more evidence on these new unlim- ited discoveries and creating new evidence for new inventions. Industrial Lab Automation observed the market and summarised the major trends. The two major areas where cloud services are being deployed in discovery are computational power to execute computer intensive calculations and in electronic lab notebooks (ELN) to electron- ically capture scientific experiments and share knowledge across research teams. John McCarthy, VP, Product Management of Accelrys, explains that its customers are successful- ly using Pipeline Pilot with the Next Generation Sequencing Collection with the Amazon EC2 web service for its next generation sequencing. “We can spin up any number of nodes in the cloud cluster and perform high intensity computational jobs and analyse terabytes of sequencing data to support our clients’ work either internally or with their CROs in India and China.”
Research is an extremely information-intensive endeavour. As a rule, experimental data are both dynamic and distributed. New data and properties
Drug Discovery World Fall 2011
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