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A proposed undergraduate bioinformatics curriculum for computer scientists

Published: 27 February 2002 Publication History

Abstract

Bioinformatics is a new and rapidly evolving discipline that has emerged from the fields of experimental molecular biology and biochemistry, and from the the artificial intelligence, database, and algorithms disciplines of computer science. Largely because of the inherently interdisciplinary nature of bioinformatics research, academia has been slow to respond to strong industry and government demands for trained scientists to develop and apply novel bioinformatics techniques to the rapidly-growing, freely-available repositories of genetic and proteomic data. While some institutions are responding to this demand by establishing graduate programs in bioinformatics, the entrance barriers for these programs are high, largely due to the significant amount of prerequisite knowledge in the disparate fields of biochemistry and computer science required to author sophisticated new approaches to the analysis of bioinformatics data. We present a proposal for an undergraduate-level bioinformatics curriculum in computer science that lowers these barriers.

References

[1]
Baldi, P., and Brunak, S. Bioinformatics: the machine learning approach. MIT Press, 1998.
[2]
BISTIC Definition Committee. NIH working definition of bioinformatics and computational biology. http://grants.nih.gov/grants/bistic/CompuBioDef.pdf, July 2000.
[3]
Computing Sciences Accreditation Commission. Criteria for accrediting programs in computer science in the united states. http://www.csab.org, 2000.
[4]
Doom, T. E., and Garcia, O. N. Bioinformatics: An option in computer science. In 2001 Midwest Artificial Intelligence and Cognitive Science Conference (March 2001).
[5]
Moore, S. K. Understanding the human genome. IEEE Spectrum (November 2000), 33 - 35.

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    cover image ACM Conferences
    SIGCSE '02: Proceedings of the 33rd SIGCSE technical symposium on Computer science education
    February 2002
    471 pages
    ISBN:1581134738
    DOI:10.1145/563340
    • cover image ACM SIGCSE Bulletin
      ACM SIGCSE Bulletin  Volume 34, Issue 1
      Inroads: paving the way towards excellence in computing education
      March 2002
      417 pages
      ISSN:0097-8418
      DOI:10.1145/563517
      Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 27 February 2002

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    SIGCSE02: The 33rd Technical Symposium on Computer Science Education
    February 27 - March 3, 2002
    Kentucky, Cincinnati

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    SIGCSE '02 Paper Acceptance Rate 73 of 234 submissions, 31%;
    Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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