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ESCIENCE
2006
IEEE
15 years 9 months ago
Grid Approach to Embarrassingly Parallel CPU-Intensive Bioinformatics Problems
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
Heinz Stockinger, Marco Pagni, Lorenzo Cerutti, La...
NLDB
2005
Springer
15 years 8 months ago
Combining Biological Databases and Text Mining to Support New Bioinformatics Applications
Abstract. A large amount of biological knowledge today is only available from full-text research papers. Since neither manual database curators nor users can keep up with the rapid...
René Witte, Christopher J. O. Baker
SC
2009
ACM
15 years 8 months ago
Cloud technologies for bioinformatics applications
Executing large number of independent tasks or tasks that perform minimal inter-task communication in parallel is a common requirement in many domains. In this paper, we present o...
Xiaohong Qiu, Jaliya Ekanayake, Scott Beason, Thil...
CCGRID
2006
IEEE
15 years 7 months ago
Building Cyberinfrastructure for Bioinformatics Using Service Oriented Architecture
-- Cyberinfrastructure makes the development and deployment of bioinformatics applications easier by providing the framework and components that may be loosely coupled using servic...
Wilfred W. Li, Sriram Krishnan, Kurt Mueller, Kohe...
124
Voted
GCC
2006
Springer
15 years 7 months ago
Design of Computational Grid-based Intelligence ART1 Classification System for Bioinformatics Applications
Computational Grid technology has been noticed as an issue to solve large-scale bioinformatics-related problems and improves data accuracy and processing speed on multiple computa...
Kyu Cheol Cho, Yong Beom Ma, Jong Sik Lee