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Lecture
Sequence Alignment: Implementation and Submission
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Related lectures (17)
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Needleman-Wunsch Algorithm: Sequence Alignment
Covers the Needleman-Wunsch algorithm for optimal protein sequence alignment using dynamic programming and scoring methods.
Understanding Generative Models of Protein Sequences
Explores a unified framework for understanding and evaluating generative sequence models of DNA/RNA or Protein, covering topics like coevolution, conservation, and different models such as GREMLIN and BERT.
Protein Residue Coevolution Analysis
Delves into analyzing residue coevolution in protein families to capture native contacts and predict spatial proximity and protein interactions.
Genetic Distance Calculation
Explores DNA sequence alignment, genetic distance calculation, and the impact of incorrect alignments during meiosis.
Protein Structure Prediction
Delves into predicting protein structure through amino acid contact analysis and advanced computational methods.
Genetic Distance Calculation
Explores genetic distance calculation, sequence alignment, and the impact of friction.
Biological structure and function emerge from unsupervised learning
Delves into how biological structure and function are decoded through unsupervised learning of protein sequences.
Protein Structure Prediction: AlphaFold Evolution and OpenFold Insights
Explores the evolution of protein structure prediction with AlphaFold models and introduces OpenFold insights.
Protein Folding: From DCA to AlphaFold
Explores the evolution of protein folding techniques, from DCA to AlphaFold.
Logistics Elements: Project Implementation and Code Provided
Covers the logistics elements of a mini-project and the implementation of provided code.
