• DocumentCode
    763851
  • Title

    Crossing the interdisciplinary barrier: a baccalaureate computer science option in bioinformatics

  • Author

    Doom, Travis ; Raymer, Michael ; Krane, Dan ; Garcia, Oscar

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
  • Volume
    46
  • Issue
    3
  • fYear
    2003
  • Firstpage
    387
  • Lastpage
    393
  • Abstract
    Bioinformatics is a new and rapidly evolving discipline that has emerged from the fields of experimental molecular biology and biochemistry, and from the artificial intelligence, database, pattern recognition, 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 bioinformatic 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 because of the significant amount of prerequisite knowledge in the disparate fields of biochemistry and computer science required for sophisticated new approaches to the analysis and interpretation of bioinformatics data. The authors present an undergraduate-level bioinformatics curriculum in computer science designed for the baccalaureate student. This program is designed to be tailored easily to the needs and resources of a variety of institutions.
  • Keywords
    biochemistry; biomedical education; computer science education; educational courses; artificial intelligence; baccalaureate computer science option; baccalaureate student; biochemistry; bioinformatics; computer science; database; entrance barriers; experimental molecular biology; genetic data; inherently interdisciplinary nature; interdisciplinary barrier; pattern recognition; proteomic data; undergraduate engineering education; undergraduate-level bioinformatics curriculum; Artificial intelligence; Biochemistry; Bioinformatics; Biology; Computer science; Databases; Genetics; Government; Industrial training; Pattern recognition;
  • fLanguage
    English
  • Journal_Title
    Education, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9359
  • Type

    jour

  • DOI
    10.1109/TE.2003.814593
  • Filename
    1220740