Bioinformatics on a Heterogeneous Java Distributed System

Authors:
Andrew J. Page;Thomas M. Keane;Thomas J. Naughton
Affiliations:
National University of Ireland;National University of Ireland;National University of Ireland
Venue:
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 5 - Volume 06
Year:
2005

Citing 8
Cited 0

SETI@HOME—massively distributed computing for SETI

Computing in Science and Engineering
Parallel implementation and performance of fastDNAml: a program for maximum likelihood phylogenetic inference

Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Two Strikes Against Perfect Phylogeny

ICALP '92 Proceedings of the 19th International Colloquium on Automata, Languages and Programming
Phylogenetic Tree Inference on PC Architectures with AxML/PAxML

IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
A Subquadratic Sequence Alignment Algorithm for Unrestricted Scoring Matrices

SIAM Journal on Computing
Adaptive Scheduling across a Distributed Computation Platform

ISPDC '04 Proceedings of the Third International Symposium on Parallel and Distributed Computing/Third International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Networks
DSEARCH: sensitive database searching using distributed computing

Bioinformatics
DPRml: distributed phylogeny reconstruction by maximum likelihood

Bioinformatics

Quantified Score

Hi-index	0.00

Visualization

Abstract

A programmable Java distributed system, which utilises the free resources of a heterogeneous set of computers linked together by a network, has been developed. The system has been successfully deployed on over 200 computers, which were distributed over a number of locations, and has been successfully used to process bioinformatics, biomedical engineering, and cryptography applications.We present two bioinformatics applications, DSEARCH, which performs sensitive database and DPRml which performs distributed phylogeny reconstruction by maximum likelihood.