MATH 449 - Computational Molecular Biology

3 Credit(s) | Lecture | Graded or pass/fail
Course can be counted for credit once

Description:
Mathematical Biology is a multidisciplinary field of research, primarily focused on the development of mathematical models and computational algorithms to study biological phenomena. While the field is broadly defined, and can encompass several branches of biological and social sciences, 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:
Prerequisites: MATH 448 and CS 110 or permission of instructor

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