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Fundamental Algorithms in BioinformaticsEpisode from the podcastFundamental Algorithms in Bioinformatics
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Lecture 8: Sequence alignment using dynamic programming — continued

Lecture 8: Sequence alignment using dynamic programming — continued

Released Friday, 8th January 2010
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Lecture 8: Sequence alignment using dynamic programming — continued

Lecture 8: Sequence alignment using dynamic programming — continued

Lecture 8: Sequence alignment using dynamic programming — continued

Lecture 8: Sequence alignment using dynamic programming — continued

Friday, 8th January 2010
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Continuation of the discussion of how to compute similarityand optimal sequence alignment using dynamic programming.Local as well as global alignment.

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Fundamental Algorithms in Bioinformatics

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.

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