/bioinformatics

Course materials for Computational Biology and Bioinformatics - BI462

Primary LanguageJupyter Notebook

BI462: Introduction to Bioinformatics - Algorithms and Applications

Syllabus

This course will cover the fundamental methods applied in investigation of molecular biology in the omics-era.

Schedule

  1. Roadmap to Biological Databases
  2. Sequence Mapping: From Smith-Waterman to Burrow-Wheeler Transform (BWT)
  3. DNA-Seq Data Analysis: Quality Check, Mapping and Variant Calling of the NGS Reads
  4. RNA-Seq Data Analysis: Differential Expression Analysis and Clustering
  5. ChIP-seq Data Analysis: From Peak Calling to Motif Discovery based on EM/Gibbs Sampling
  6. Integration of the Omics Data
  7. Phylogenomics Studies via Distance-based and Bayesian Approaches
  8. Further Machine Learning Algorithms for Bioinformatics