Understanding the human genome
IEEE Spectrum
Bioinformatics: the machine learning approach
Bioinformatics: the machine learning approach
Teaching together: a three-year case study in genomics
Journal of Computing Sciences in Colleges
The role of computer science in undergraduate bioinformatics education
Proceedings of the 35th SIGCSE technical symposium on Computer science education
A bioinformatics course in the computer science curriculum
Proceedings of the 2nd annual conference on Mid-south college computing
Developing a truly interdisciplinary bioinformatics track: work in progress
Journal of Computing Sciences in Colleges - Papers of the twelfth annual CCSC Northeastern Conference
A multidisciplinary course in computational biology
Journal of Computing Sciences in Colleges - Papers of the twelfth annual CCSC Northeastern Conference
Teaching software engineering to end-users
Proceedings of the 4th international workshop on End-user software engineering
When CS 1 is biology 1: crossdisciplinary collaboration as CS context
Proceedings of the fifteenth annual conference on Innovation and technology in computer science education
Bio1 as CS1: evaluating a crossdisciplinary CS context
Proceedings of the 17th ACM annual conference on Innovation and technology in computer science education
Diverse player experiences in the design of science games for bioinformatics learning
Proceedings of the 2013 Chilean Conference on Human - Computer Interaction
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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.