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Episode from the podcastFundamental Algorithms in Bioinformatics

Lecture 30: Maximum Parsimony and minimum mutation methods

Released Sunday, 31st January 2010

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Lecture 30: Maximum Parsimony and minimum mutation methods

Lecture 30: Maximum Parsimony and minimum mutation methods

Sunday, 31st January 2010

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Here is the podcast description for 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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As of Jun 16th, 2024, Fundamental Algorithms in Bioinformatics has published 32 episodes.

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The latest episode of Fundamental Algorithms in Bioinformatics was published on Feb 1st, 2010

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Fundamental Algorithms in Bioinformatics launched its first episode on Jan 1st, 2010.

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Fundamental Algorithms in Bioinformatics is created by .

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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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Official Episode Pageitunescontent.ucdavis.edu
Download Audio Filehttp://itunescontent.ucdavis.edu/media/2014/SU/ECS124A/lecture27of01.mov

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