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Bioinformatics Lecutre 11: Introduction to Hidden Markov Models
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Bioinformatics Course Lectures
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- 1 Bioinformatics Lecture 2: What's in a genome?
- 2 Bioinformatics Lecture 3: Sequencing Technology Lecture: Part 1
- 3 Bioinformatics Lecture 4: Sequencing Technology Lecture: Part 2
- 4 Bioinformatics Lecture 5: Molecular Evolution
- 5 Bioinformatics Lecture 6: Introduction to Scientific Reasoning
- 6 Bioinformatics Lecture 7: Basics of Probability
- 7 Bioinformatics Lecture 8: Statistics and Hypothesis Testing
- 8 Bioinformatics Lecture 9: Pairwise Sequence Alignment
- 9 Bioinformatics Lecture 10: Extreme Value Distribution and BLAST
- 10 Bioinformatics Lecutre 11: Introduction to Hidden Markov Models
- 11 Bioinformatics Lecture 13: Phylogenetics and Molecular Clocks
- 12 Bioinformatics Lecture 14: Genome Assembly
- 13 Bioinformatics Lecture 14: Read Mapping in Genomics
- 14 Bioinformatics Lecture15: Genome Annotation: Genetic Element Prediction
- 15 Bioinformatics Lecture 16: Genome Annotation
- 16 Bioinformatics Lecture 19: Genetic Variation I
- 17 Bioinformatics Lecture 20: Genetic Variation II - GWAS
