By Tin Wee Tan, Peter Arzberger, Akihiko Konagaya
This can be the second one quantity within the sequence of lawsuits from the overseas Workshop on lifestyles technology Grid. It represents the few, if no longer the one, committed complaints volumes that gathers jointly the shows of leaders within the rising sub-discipline of grid computing for the lifestyles sciences. the quantity covers the newest advancements, developments and trajectories in lifestyles technology grid computing from best names in bioinformatics and computational biology: A Konagaya; J C Wooley of the nationwide technology starting place (NSF) and DoE concept chief in supercomputing and existence technology computing, and one of many key humans within the NSF CIBIO initiative; P Arzberger of PRAGMA reputation; and R Sinnott of united kingdom e-Science.
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Extra info for Grid Computing in Life Sciences: Proceedings of the 2nd International Life Science Grid Workshop, LSGRID 2005
Database was unigene; primary node was raicho; transfer was done in dictionary order of file name; redundant transfers from the same LAN were suppressed. 44 . ' 1 1 ^"f J- 1_ C ' 01:00:00 1 r 00:00:00 02:00:00 03:00:00 04:00:00 05:00:00 06:00:00 07:00:00 e l a p s e d tim e [H :M : S ] Figure 6. Graph of database diffusion. Database was unigene; primary node was raicho; transfer was done in ascending order of file size; redundant transfers from the same LAN were suppressed. ' ' i i i i i ^vl——&-——e—t— 40 i 0> m ' h 60 • § § & 00:00:00 i i i 01:00:00 i i i 02:00:00 i i i 03:00:00 04:00:00 I .
In this study, we used OBIDuc4 (Distributed but Uniform Cluster for Open Bioinformatics), which is an account-level overlay network on OBIGrid. Currently, 19 sites in Japan are joined to it (Figure 2), involving computers located at 18 working sites. 2. OBIEnv OBIEnv ' ' is an integrated system developed on OBIGrid. It facilitates distributed, high-throughput, adaptive, and transparent computing, as well as database management in bioinformatics. Moreover, robustness to various failures of node and network is well considered in its design and implementation.
Org/ 22 UPCOMING STANDARDS FOR DATA ANALYSIS IN BIOINFORMATICS MARTIN SENGER, TOM OINN, PETER RICE EMBL Outstation - Hinxton, European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK The life sciences research domain depends on effective access to the data and data analysis. g. g. BioMoby) that bring together a critical mass of computational methods. A standard defining how these tools can be integrated into data analysis grids is needed. The paper describes an upcoming standard for Life Sciences Analysis Engine that facilitates uniform access to data analysis operations.