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A programming course in bioinformatics for computer and information science students
Abstract We have created a course entitled "Represe We have created a course entitled "Representations and Algorithms forComputational Molecular Biology" with three specific goals in mind. First,we want to provide a technical introduction for computer science andmedical information science students to the challenges of computing withmolecular biology data, particularly the advantages of having easy accessto real-world data sets. Second, we want to equip the students with theskills required of productive research assistants in molecular biologycomputing research projects. Finally, we want to provide a showcase forlocal investigators to describe their work in the context of a course thatprovide adequate background information. In order to achieve these goals,we have created a programming course, in which three major projects and sixsmaller assignments are assigned during the quarter. We stressfundamental representations and algorithms during the first part of thecourse in lectures given by the core faculty, and then have more focusedlectures in which faculty research interests are highlighted. The coursestressed issues of structural molecular biology, in order to bettermotivate the critical issues in sequence analysis. The culmination of thecourse was a challenge to the students to use a version of proteinthreading to predict which members of a set of unknown sequences wereglobins. The course was well received, and has been made a corerequirement in the Medical Information Sciences program. the Medical Information Sciences program.
Address Stanford, CA, USA +
Author Russ B. Altman +, John R. Koza +
Bibtype techreport  +
Institution Knowledge Systems, AI Laboratory +
Key KSL-95-64  +
Modification dateThis property is a special property in this wiki. 1 May 2009 14:05:35  +
Month August +
Note Medical Computer Science +
Number KSL-95-64  +
Tag Computer science +
Title A Programming Course in Bioinformatics for Computer and Information Science Students  +
Tr id KSL-95-64  +
Year 1995  +
Categories Technical Report, Publication, KSL Technical Report
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