Independent Studies in Computational Biology
Introducing High School Students to Computational Biology
Independent Studies in Computational Biology (ISCB) immerses talented science and math students in systems genetics research. The course integrates genetics,
statistical analysis, and the R programming language to bring a highly interdisciplinary research experience to students.
Independent Studies in Computational Biology offers graduate level research experiences to high school students in order
to accelerate their research careers at a very early age. Participating schools include the Maine School of Science and Mathematics,
the North Carolina School of Science and Mathematics, and the Rockdale Magnet School of Science and Technology.
 Aims and Objectives
Students gain the experimental and computational knowledge necessary to embrace a systems biology approach, and
experience authentic systems genetics research by designing and conducting independent research projects with guidance
from Center faculty, staff and postdoctoral associates. [ More information ] |
 Schedule
This two semester course trains students in core research competencies such as reading scientific literature, writing literature reviews and
research proposals, and delivering oral presentations. Instruction includes research design and methods as well as skills in R programming and
quantitative trait locus analysis. Students write an NIH-style research proposal in the first semester, and carry out research in the second
semester using Center-generated data and tools. [ More information ]
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 Recommended Reading
Course reading includes current primary research articles and reviews from top tier journals including Nature and Science.
Texts for background material in mouse genetics, quantitative trait locus analysis, and R programming are made available to each school as well. [ More information ]
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