Bioinformatics

Course Description

Bioinformatics is an interdisciplinary and emerging field that develops methods and software tools for understanding biological data. Being a Bioinformatician requires an integrated skill set, including computer science, statistics, mathematics, and engineering. This course will introduce students to this rapidly growing topic and equip them with some of its fundamental principles, related algorithms, programming skills, and valuable tools.

Sides are available for education by request.

Lecture

• Introduction
  • topic 01. Introduction
• Sequence analysis
  • topic 02. Substitution Matrix
  • topic 03. Pairwise sequence alignment
  • topic 04. Multiple Sequence Alignment
  • topic 05. MSA approximation algorithm
  • topic 06. Sequence alignment post-process
• Phylogenetic tree
  • topic 07. Phylogenetic tree 1/2
  • topic 08. Phylogenetic tree 2/2
• Protein function prediction
  • topic 9. Protein secondary structure prediction
  • topic 10. ​Protein functional classes prediction
• Genomics
  • topic 11. Genomics
  • topic 12. ​Next generation sequencing
  • topic 13. RNA-Seq
  • topic 14. ​​​Computational epigenetics
  • topic 15. Comparative genomics
• References and supplementaries
  • Reference Books
  • Supplemental Data