Topics include statistical and mathematical analysis, computer simulation, use of Internet for remote databases, and connection to supercomputers, with emphasis on biological applications and individual or group projects. Topics include population genetics, genetic epidemiology, gene mapping, design of genetics experiments, DNA sequence analysis, and molecular phylogeny. Introduction to statistical analysis of genetic data from experimental crosses, populations, and human pedigrees. Topics include segregation analysis, recombination and linkage, genetic mapping, inbreeding systems, population genetics, pedigree analysis, quantitative trait analysis, and molecular phylogeny. Analysis of algorithms employed to model molecular biology data, including both theoretical aspects and practical implementation.
Students design and complete programming projects based on algorithms discussed in class.
NEW Discussion, one hour. Detailed analysis of new methods, including algorithms and representation of bioinformatics data, and research problems ranging from genome-wide sequence analysis, to fold recognition, to energy calculation and protein design. Computer Analysis of Genetic Organization. Life Sciences 4 or Microbiology C159. Lectures and laboratory instruction in contemporary procedures for analysis of nucleic acid and protein sequence data with the computer.