{{menu|events|Cloud Computing: Reducing Energy Consumption while Improving Bioinformatics?}}

Talk held by Ivona Brandic (Distributed Systems Group, Information Systems Institute, TU Wien, Austria) at the KGRC [[Friday seminar]] on 2012‑11‑30.

===Abstract===
With the rapid development of high-throughput technologies in recent years, huge amounts of
data are being generated and stored in databases in the field of life science, which
necessitates significant advances in computing capacity and performance. An example of such
technologies is the high-throughput sequencing of the transcriptome (RNASeq), which has the
potential to transform how gene structure and gene expression profiling are studied.
Scientific workflow applications are crucial in enabling scientists to determine important
information from those huge amounts of stored data.

Cloud computing represents a revolutionary approach for implementing energy efficient, cost
efficient, and scalable ICT systems. Thereby, emerging virtualization technologies facilitate
delivery of computational resources as services over networks. In this talk we discuss how the
application of Cloud computing technologies can support the work of scientists working in the
field of high-throughput sequencing, while at the same time optimizing utilization of resource
and increasing energy efficiency.