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A parallel computational approach using a cluster of IBM ES/3090 600Js for physical mapping of chromosomes

Published: 01 October 1990 Publication History

Abstract

A standard technique for mapping a chromosome is to randomly select pieces, to use restriction enzymes to cut these pieces into fragments, and then to use the fragments for estimating the probability of overlap of these pieces. We describe a computational approach which has been used in the mapping of juman chromosome 16 at Los Alamos National Laboratory.
We describe 6-way and clustered implementations of an IBM Clustered FORTRAN program for detection of fragment overlap with specific attention paid to problem partitioning, task structure, synchronization, and other factors which allow this type of code to perform well on a cluster of shared-memory multi-processors. Measurements for one, six, and twelve processors for reduced problem sizes are included.

References

[1]
James D. Watson, "The tluman Genome Project Past, Present, and Future", Science, vol. 248, pp.44-49, 1990.
[2]
Charles R. Cantor, ~Orchestrating the Human Genome Project", Science, vol. 248, pp.49-51, 1990.
[3]
Dave C. Tomey, Clive C. Whittaker, Steven W. White, and Karen Schenk, "Computational Methods for Physical Mapping of Chromosomes", presented at the First International Conference on Electrophoresis, Supercomputing, and the Human Genome, Tallahassee, April 10-13, 1990.
[4]
R. E. Tarjan, "An Improved Algorithm for Hierarchical Clustering using Strong Components", nformation Processing Letters, vol. 17, pp.37-41, 1983.
[5]
IBM Clustered FORTRAN Language and Library Reference, IBM #SC23-0523, 1990.

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cover image ACM Conferences
Supercomputing '90: Proceedings of the 1990 ACM/IEEE conference on Supercomputing
November 1990
982 pages
ISBN:0897914120

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IEEE Computer Society Press

Washington, DC, United States

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Published: 01 October 1990

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