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Computational biology and high-performance computing
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Communications of the ACM archive
Volume 47 ,  Issue 11  (November 2004) table of contents
Bioinformatics
SPECIAL ISSUE: Bioinformatics: transforming biomedical research and medical care table of contents
Pages: 34 - 41  
Year of Publication: 2004
ISSN:0001-0782
Author
David A. Bader  The University of New Mexico in Albuquerque
Publisher
ACM  New York, NY, USA
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ABSTRACT

Understanding evolution and the basic structure and function of proteins are two grand challenge problems in biology that can be solved only through the use of high-performance computing.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Bader, D., Moret, B., and Yan, M. A linear-time algorithm for computing inversion distance between signed permutations with an experimental study. J. Comput. Biol. 8, 5 (Oct. 2001), 483--491.
 
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4
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Moret, B., Wyman, S., Bader, D., Warnow, T., and Yan, M. A new implementation and detailed study of breakpoint analysis. In Proceedings of the Sixth Pacific Symposium on Biocomputing 2001 (Big Island, HI, Jan. 3--7, 2001). World Scientific Publishing Co., Inc., Hackensack, NJ, 2001, 583--594.
 
9
Saitou, N. and Nei, M. The neighbor-joining method: A new method for reconstruction of phylogenetic trees. Molec. Biol. Evol. 4, 4 (July 1987), 406--425.
 
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Sankoff, D. and Blanchette, M. Multiple genome rearrangement and breakpoint phylogeny. J. Comput. Biol. 5, 3 (Fall 1998), 555--570.
 
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Schena, M., Shalon, D., Davis, R., and Borown, P. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 270, 5235 (Oct. 20, 1995), 456--460.
 
12
Venter, J. et al. The sequence of the human genome. Science 291, 5507 (Feb. 16, 2001), 1304--1351.