Detailed Course Information |
Spring 2022
Apr 19, 2024 |
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| CSCI 2820 - Algorithmic Foundations of Computational Biology |
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The aim of this course is to provide computer science and mathematical sciences foundations, as well as biological insights, for numerous seminal algorithms in the field of computational biology, i.e., algorithmic foundations for Computational Biology. Topics include: The BLAST Algorithm and Karlin-Altschul Statistics, Genome Assembly Algorithms and Haplotype Assembly Algorithms, Hidden Markov Models (HMM) Algorithms: The Learning Problem, Recombination and Ancestral Recombination Graphs Algorithms, Rigorous Clustering: Spectral Graph Theory Algorithms, Algorithms for Constructing Suffix Trees in Linear Time, Protein Folding Algorithms (An Introduction). Each chapter is devoted to a class of fundamental computational problems of genomics related to the analysis of DNA, RNA, protein sequences and protein structures and their molecular biology function.
0.000 OR 1.000 Credit hours 0.000 OR 1.000 Lecture hours 0.000 Lab hours Levels: Graduate, Undergraduate Schedule Types: Discussion Section/Conference, Primary Meeting Computer Science Department Prerequisites: (Undergraduate level CSCI 0160 Minimum Grade of S or Undergraduate level CSCI 0180 Minimum Grade of S or Undergraduate level CSCI 0190 Minimum Grade of S or Undergraduate level CSCI 0200 Minimum Grade of S) and Undergraduate level CSCI 1810 Minimum Grade of S |
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