Cbb752b12
From GersteinInfo
Contents |
CBB 752
Course Information
Course Description
Bioinformatics encompasses the analysis of gene sequences, macromolecular structures, and functional genomics data on a large scale. It represents a major practical application for modern techniques in data mining and simulation. Specific topics to be covered include sequence alignment, large-scale processing, next-generation sequencing data, comparative genomics, phylogenetics, biological database design, geometric analysis of protein structure, molecular-dynamics simulation, biological networks, normalization of microarray data, mining of functional genomics data sets, and machine learning approaches for data integration.
Concise undergraduate course description
Techniques in data mining and simulation applied to bioinformatics, the computational analysis of gene sequences, macromolecular structures, and functional genomics data on a large scale. Sequence alignment, comparative genomics and phylogenetics, biological databases, geometric analysis of protein structure, molecular-dynamics simulation, biological networks, microarray normalization, and machine-learning approaches to data integration.
See entry from undergraduate catalog: http://students.yale.edu/oci/resultDetail.jsp?course=21914&term=201201 , viz:
MB&B 452 01 (21914) /MCDB452/MB&B752/CB&B752/MCDB752/CPSC752 Bioinformatics: Practical Application of Simulation and Data Mining Mark Gerstein MW 1.00-2.15 BASS 305 Spring 2012 No regular final examination Areas Sc Prerequisites: MB&B 301b and MATH 115a or b, or permission of instructor. MCDB 120a or 200b is a prerequisite for courses numbered MCDB 202 and above.
