Improving the Computer Science in Bioinformatics Through Open Source Pedagogy
Document Type
Article
Publication Date
6-2008
Abstract
Bioinformatics relies more than ever on information technologies. This pressures scientists to keep up with software development best practices. However, traditional computer science curricula do not necessarily expose students to collaborative and long-lived software development. Using open source principles, practices, and tools forms an effective pedagogy for software development best practices. This paper reports on a bioinformatics teaching framework implemented through courses introducing computer science students to the field. The courses led to an initial product release consisting of software and an Escherichia coli K12 GenMAPP Gene Database, within a total "incubation time" of six months.
Original Publication Citation
Dionisio JDN, Dahlquist KD. “Improving the computer science in bioinformatics through open source pedagogy.” ACM SIGCSE Bulletin 40(2):115-119, June 2008. DOI: http://doi.acm.org/10.1145/1383602.1383648
Publisher Statement
© ACM, 2008. 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 ACM SIGCSE Bulletin, 40, 2, (June 2008). http://doi.acm.org/10.1145/1383602.1383648
Digital Commons @ LMU & LLS Citation
Dionisio, John David N. and Dahlquist, Kam D., "Improving the Computer Science in Bioinformatics Through Open Source Pedagogy" (2008). Computer Science Faculty Works. 5.
https://digitalcommons.lmu.edu/cs_fac/5
