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IPPS
2003
IEEE
15 years 5 months ago
Multi-Paradigm Framework for Parallel Image Processing
A software framework for the parallel execution of sequential programs using C++ classes is presented. The functional language Concurrent ML is used to implement the underlying ha...
David J. Johnston, Martin Fleury, Andy C. Downton
SIGMOD
2007
ACM
190views Database» more  SIGMOD 2007»
16 years 17 days ago
Map-reduce-merge: simplified relational data processing on large clusters
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
Hung-chih Yang, Ali Dasdan, Ruey-Lung Hsiao, Dougl...
BMCBI
2010
171views more  BMCBI 2010»
15 years 16 days ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
101
Voted
BMCBI
2005
137views more  BMCBI 2005»
15 years 9 days ago
ArrayQuest: a web resource for the analysis of DNA microarray data
Background: Numerous microarray analysis programs have been created through the efforts of Open Source software development projects. Providing browser-based interfaces that allow...
Gary L. Argraves, Saurin D. Jani, Jeremy L. Barth,...
IPPS
2002
IEEE
15 years 5 months ago
Improving Performance of Multiple Sequence Alignment Analysis in Multi-Client Environments
This paper is concerned with the efficient execution of multiplesequence alignmentmethodsin a multipleclientenvironment. Multiple sequence alignment (MSA) is a computationally ex...
Ümit V. Çatalyürek, Eric Stahlber...