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