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Fundamental Algorithms in Bioinformatics

Fundamental Algorithms in Bioinformatics

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This course covers fundamental algorithms for efficient analysis of biological sequences and for building evolutionary trees. This is an undergraduate course focusing on the ideas and concepts behind the most central algorithms in biological sequence analysis. Dynamic Programming, Alignment, Hidden Markov Models, Statistical Analysis are emphasized.

Recent Episodes

  • Lecture 1: Introduction to bioinformatics and the course

    15 years ago

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  • Lecture 2: Further introduction

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  • Lecture 3: Defining sequence similarity

    15 years ago

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  • Lecture 4: Extending the model of sequence similarity

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  • Lecture 5: Computing sequence similarity

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  • Lecture 6: Computing similarity using an alignment graph

    15 years ago

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  • Lecture 7: From alignment graphs to formal dynamic programming

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  • Lecture 8: Sequence alignment using dynamic programming — continued

    15 years ago

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  • Lecture 9: Local sequence alignment

    15 years ago

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  • Lecture 10: End-gap-free alignment and whole-genome shotgun sequencing

    15 years ago

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