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Upcoming Events:


Distributed Computing Workshop
From: 2008-05-21 (09:00) To: 2008-05-21 (17:00)
Type: All
Organization: STFC
Organiser: Qi3
Contact: Alex Efimov ( alex.efimov@qi3.co.uk )

Free registration is at: http://www.qi3.co.uk/events/080521-grid/


The Enabling Grids for E-sciencE project brings together scientists and engineers from more than 240 institutions in 45 countries world-wide to provide a seamless distributed computing infrastructure for e-Science that is available to scientists 24 hours-a-day. Conceived from the start as a four-year project, the second two-year phase started on 1 April 2006, and is funded by the European Commission. Expanding from originally two scientific fields, high energy physics and life sciences, EGEE now integrates applications from many other scientific fields, ranging from geology to computational chemistry.

EGEE infrastructure is ideal for any scientific research, especially where the time and resources needed for running the applications are considered impractical when using traditional IT infrastructures.

The event gathers an expert panel which will provide insight into how open source distributed computing is being applied in science and industry. In particular, the event will encourage discussion on how new developments in computing technologies emerging from the world of science could benefit finance, pharmaceuticals, engineering and other industrial sectors.

 

Computational Systems BioInfomatics Conference
August 25th - 29th 2008
Stanford - California

http://lifesciencessociety.org/csb2008/index.html

The conference's goal is to facilitate exchange of ideas and collaborations between computer scientists and biologists by presenting cutting-edge computational biology research findings. Such research has an interdisciplinary character. Computer science and mathematical modeling papers must contain a concise description of the biological problem being solved, and biology papers should show how computation or analysis affects the results. Topics of interest include (but are not limited to):

• Microarray Data Analysis • Mathematical and Quantitative Models of Cellular and Multicellular Systems
• MicroRNA and RNAi • Synthetic Biological Systems
• Pathways, Networks, Systems Biology • Sequence Alignment
• Biomedical Applications • Evolution and Phylogenetics
• Biological Data Visualization • Functional Genomics
• Protein Structures and Complexes • High Performance Bio-computing
• Biological Data Mining • Comparative Genomics
• Pattern Recognition • SNPs and Haplotyping
• Microbial Community Analysis • Promoter Analysis and Discovery