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