BIOMEDIN 214 - Representations and Algorithms for Computational Molecular Biology

Description
Topics: introduction to bioinformatics and computational biology, algorithms for alignment of biological sequences and structures, computing with strings, phylogenetic tree construction, hidden Markov models, basic structural computations on proteins, protein structure prediction, protein threading techniques, homology modeling, molecular dynamics and energy minimization, statistical analysis of 3D biological data, integration of data sources, knowledge representation and controlled terminologies for molecular biology, microarray analysis, machine learning (clustering and classification), and natural language text processing. Prerequisite: CS 106B; recommended: CS161; consent of instructor for 3 units.
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Recent Semesters
Spring 2020, Fall 2019, Fall 2018, Fall 2017
Offered
TuTh
Avg. Class Size
175
Avg. Sections
1