Open science, open data, open source projects for undergraduate research experiences
Author(s): Kam Dahlquist
Loyola Marymount University
1317 total view(s), 182 download(s)
Description
In this workshop, I will demonstrate a suite of open source tools that students use in my courses to conduct original research in my courses. In a team-taught, cross-listed Biological Databases course, students use the XMLPipeDB suite to create a gene database for a microorganism and use it to analyze published DNA microarray data. In a team-taught, cross-listed Biomathematical Modeling course, students use the GRNmap software to perform differential equations modeling of a medium-scale gene regulatory network and the GRNsight software to visualize the results. Each of these courses is taught "in the open" on a publicly-accessible course wiki. The results of student research are published on the web for the scientific community. There is a special emphasis in the courses on interdisciplinary teamwork, computer literacy, data literacy, and information literacy.
I will discuss how you can adopt and adapt these exercises and/or framework in your courses.
additional resources:
Mathematical modelling open source software
Visualization open source software
Biological Databases course website
Biomathematical Modeling course website
Bioinformatics Laboratory course website
Cite this work
Researchers should cite this work as follows:
- Dahlquist, K. (2018). Open science, open data, open source projects for undergraduate research experiences. BioQUEST / HHMI / CaseNet Summer Workshop 2015, QUBES Educational Resources. doi:10.25334/Q46M4X