BIOMEDICAL SCIENCES CORE COURSE
IDPT 7811, 7812, 7813, 7814 & 7815
Credits: 10 semester hour
OTHER REQUIRED COURSES
CPBS 7605 Ethics in Bioinformatics
Discussion of professional conduct, social implications of research and questions raised by biomedical research with an emphasis on topics relevant to computational biologists. Active student participation in required.
This course provides an overview of fundamental concepts in statistics such as hypothesis testing and estimation and it provides an overview of statistical methods (for example, regression and analysis of variance) that apply to many areas of science.
What is bioinformatics, and why study it? How is large scale molecular biology data generated, where and how can researchers gain access to it, and what is the quality of the data?
This course continues to define and discuss inference problems and techniques for molecular biology. Overview of key inference problems in biology: homology identification, genomic sequence annotation, protein structure prediction, protein function prediction, gene expression characterization, network identification, and drug discovery. Machine learning: neural networks, genetic algorithms, simulated annealing. Evaluation of prediction methods: parametric tests, cross-validation and empirical significance testing. Sequence alignment methods: dot plots, dynamic programming, hidden Markov models. Current alignment methods: PSI-BLAST, Needleman–Wunsch, Smith–Waterman. Protein structure predictions: secondary structure, fold recognition, new fold methods. Computer simulation methods: molecular dynamics, Monte Carlo.
Additionally, this course addresses recent developments in bioinformatics and focus on advanced issues in specific areas including (but not limited to) information extraction from biomedical literature, inference of biochemical networks from high–throughput data, and prediction of protein function.
CPBS 7650 Research Rotations (2-3 Required)
Credits: 1 semester hour
Prerequisite: permission of instructor
This requirement is designed to give the student a better understanding of other sciences, promote collaboration between departments, and communicate effectively with biologists and scientists. The student must pick from Associated Faculty and ask permission to join their lab plus decide on a project, complete and submit the pre-rotation laboratory agreement, and deliver a short seminar at the time of completion. It is considered a tool for selecting a dissertation subject.
CBPS 8990 Doctoral Thesis
Doctoral study for the Ph.D. degree by students in Computational Bioscience program only.
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