4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models - Uedu Open

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4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models

HST.508 - Genomics and Computational Biology

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English 中文

其他影片 (21)

1 1A. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica 2 1B. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica 3 2A. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A... 4 2B. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A... 5 3A. DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics... 6 3B. DNA 1 : Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics... 7 4A. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models 8 4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models 9 5AB. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts 10 5C. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts 11 6A. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ... 12 6B. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ... 13 7A. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun... 14 7B. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun... 15 8A. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein... 16 8B. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein... 17 9A. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods 18 9B. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods 19 10A. Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks 20 11B. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social,... 21 11A. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social, E...

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Genomics and Computational Biology

課程影片 (21)

1 1A. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica 2 1B. Intro 1: Computational Side of Computational Biology. Statistics; Perl, Mathematica 3 2A. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A... 4 2B. Intro 2: Biological Side of Computational Biology. Comparative Genomics, Models & A... 5 3A. DNA 1: Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics... 6 3B. DNA 1 : Genome Sequencing, Polymorphisms, Populations, Statistics, Pharmacogenomics... 7 4A. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models 8 4B. DNA 2: Dynamic Programming, Blast, Multi-alignment, Hidden Markov Models 9 5AB. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts 10 5C. RNA 1: Microarrays, Library Sequencing and Quantitation Concepts 11 6A. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ... 12 6B. RNA 2: Clustering by Gene or Condition and Other Regulon Data Sources Nucleic Acid ... 13 7A. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun... 14 7B. Protein 1: 3D Structural Genomics, Homology, Catalytic and Regulatory Dynamics, Fun... 15 8A. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein... 16 8B. Protein 2: Mass Spectrometry, Post-synthetic Modifications, Quantitation of Protein... 17 9A. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods 18 9B. Networks 1: Systems Biology, Metabolic Kinetic & Flux Balance Optimization Methods 19 10A. Networks 2: Molecular Computing, Self-assembly, Genetic Algorithms, Neural Networks 20 11B. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social,... 21 11A. Networks 3: The Future of Computational Biology: Cellular, Developmental, Social, E...