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Presentation
A Proposed Undergraduate Bioinformatics Curriculum for Computer Scientists
SIGCSE '02 Proceedings of the 33rd SIGCSE Technical Symposium on Computer Science Education
  • Travis E. Doom, Wright State University - Main Campus
  • Michael L. Raymer, Wright State University - Main Campus
  • Dan E. Krane, Wright State University - Main Campus
  • Oscar Garcia, Wright State University - Main Campus
Document Type
Conference Proceeding
Publication Date
1-1-2002
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.

Comments

© ACM, 2002. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in PUBLICATION, VOL 34, ISS 1, 2002, http://doi.acm.org/10.1145/563517.563368 .

DOI
10.1145/563517.563368
Citation Information
Travis E. Doom, Michael L. Raymer, Dan E. Krane and Oscar Garcia. "A Proposed Undergraduate Bioinformatics Curriculum for Computer Scientists" SIGCSE '02 Proceedings of the 33rd SIGCSE Technical Symposium on Computer Science Education Vol. 34 Iss. 1 (2002) p. 78 - 81 ISSN: 1-58113-473-8
Available at: http://works.bepress.com/travis_doom/23/