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Course: BBS741 - Advanced Topics in Bioinformatics
Coordinatoror: Zhiping Weng
Semester Offered: Fall 2018 (9/4/18-1/8/19)
Tuesdays, 9:00-11:00am in AS7-2072

Syllabus: The Advanced Topics in Bioinformatics course covers several important areas in modern bioinformatics and computational biology. The course is aimed not only at students specializing in bioinformatics, but also general biology students who would like to utilize bioinformatics tools in their daily research. The course will begin with an overview of modern sources of bioinformatics data, including high-throughput sequencing and microarrays, followed by a thorough presentation of sequence search and alignment algorithms, and the structure of the eukaryotic genome. Next, we will introduce population genetics—spanning from molecular phylogenetics to natural selection, with an emphasis on analyzing genomic datasets. The biophysical section of the course will include discussions of protein structure and folding, as well as the physical architecture of the genome in vivo, and the relations between sequences and structures for proteins and DNA. The course will include 10 lectures, followed by work on individual or group research projects, presented in lieu of the final exam. 

Recommended Textbooks:

  • Pattern Recognition and Machine Learning by Christopher Bishop
  • An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
  • Learning From Data by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin