This course on Bioinformatics aims to provide an understanding of genomics, sequencing technology, molecular evolution, scientific reasoning, probability, statistics, sequence alignment, BLAST, hidden Markov models, phylogenetics, genome assembly, read mapping, genome annotation, and genetic variation. The teaching method involves recorded lectures totaling 14 hours. The course is designed for individuals interested in bioinformatics, genomics, and computational biology.
Overview
Syllabus
Bioinformatics Lecture 2: What's in a genome?.
Bioinformatics Lecture 3: Sequencing Technology Lecture: Part 1.
Bioinformatics Lecture 4: Sequencing Technology Lecture: Part 2.
Bioinformatics Lecture 5: Molecular Evolution.
Bioinformatics Lecture 6: Introduction to Scientific Reasoning.
Bioinformatics Lecture 7: Basics of Probability.
Bioinformatics Lecture 8: Statistics and Hypothesis Testing.
Bioinformatics Lecture 9: Pairwise Sequence Alignment.
Bioinformatics Lecture 10: Extreme Value Distribution and BLAST.
Bioinformatics Lecutre 11: Introduction to Hidden Markov Models.
Bioinformatics Lecture 13: Phylogenetics and Molecular Clocks.
Bioinformatics Lecture 14: Genome Assembly.
Bioinformatics Lecture 14: Read Mapping in Genomics.
Bioinformatics Lecture15: Genome Annotation: Genetic Element Prediction.
Bioinformatics Lecture 16: Genome Annotation.
Bioinformatics Lecture 19: Genetic Variation I.
Bioinformatics Lecture 20: Genetic Variation II - GWAS.
Taught by
Nathaniel Jue
