BTN707 Computational Genomics

Term project guideline

• Windows10 users - if you like to use linux (unix) environment, install WSL Windows Subsystem for Linux
• For python coding: use following tools (optional)
  • conda - virtual environment control
  • conda tutorial
  • Pycharm - Integrated Development Environment (IDE), 통합개발환경
  • pycharm tutorial
• All individual projects will be maintained in the Github BTN707 repository
  • What is Git and Github?
  • 생활코딩 Git
  • What is Github?
  • it is not an obligation
• Use markdown for documentation
  • Markdown tutorial
  • Markdown tutorial - Korean
• You can use jupyter notebook too
• Check library - there are plenty of reference books for python codings
• Evaluation is on your activity rather than your performance (e.g. how frequently commit/update your codes/documents/discussions)

Term projects

• You can choose following topics or suggest your own term project
• In following weeks, everyone will present and discuss about his/her intro/progress/issues/results, including
  • i) what is the problem to solve? (topic description/introduction),
  • ii) why is it important? (biological meaning),
  • iii) how it can be solved (algorithms/procedures) - how do you solve the problem?
• Some projects are mostly related to indexing and pattern matching of sequences, which was handled in the previous class hours.