Mar 28, 2024  
2018-2019 Graduate Catalog 
    
2018-2019 Graduate Catalog [ARCHIVED CATALOG]

MATH 649 - Computational Molecular Biology


4 Credit(s)

Description:
The focus in this course is mainly on the molecular biology of the gene and the fundamental of mathematical models relating to the bioinformatics of analyzing high-throughput biological datasets. We will study mathematical models and computational algorithms that are typically used for analysis and interpretation of omic-scale biological datasets, in particular, gene expression data. The topics that will be covered during the course include basics of the sequence alignment algorithms; quantification of gene expression data from microarray and RNA-seq; regression, clustering, and classification models for genetic stratification; response prediction and biomarker discovery, biophysical models of transcriptional gene regulation post-transcriptional gene regulation by MicroRNAs; structural bioinformatics, and application of Hidden Markov Models (HMMs) to the functional annotation of the genome.

Enrollment Requirements:
: MATH 648 or permission of instructor

040971:1