Graduate Degree Courses of Genetics, Bioinformatics, and Computational Biology at Virginia Polytechnic Institute and State University

Genetics, Bioinformatics, and Computational Biology Courses For Graduate at Virginia Polytechnic Institute And State University

GBCB 5004 - Seminar in Genetics, Bioinformatics, and Computational Biology
Review and discussion of current topics and literature in genetics, bioinformatics, and computational biology by students, Virginia Tech faculty, and outside speakers. Students give formal presentations of research results or current literature. May be repeated. Pre: graduate status in the Program in Genetics, Bioinformatics, and Computational Biology or in a department that offers the Bioinformatics Option.
Credit Hours: 1
Lecture Hours: 1
Level(s): Graduate
Instruction Type: Lecture

GBCB 5314 (PPWS 5314) - Biological Paradigms for Bioinformatics
This course is an intensive introduction to the central paradigms of molecular cell biology for bioinformatics. Material from cell molecular biology, and genetics will be presented, and placed in a genomics context. The course prepares students in mathematical disciplines to interact in teams in the pursuit of bioinformatics research. Pre: Senior or graduate standing in mathematically-based disciplines such as computer science, statistics, mathematics or engineering.
Credit Hours: 3
Lecture Hours: 3
Level(s): Graduate
Instruction Type: Lecture

GBCB 5424 (CS 5424) (BIOL 5424) - Computational Cell Biology
Use of mathematical models (nonlinear ordinary differential equations and stochastics processes) and simulation algorithms to explore complex feedback circuits that control the behavior of living cells. Concepts and techniques from dynamical systems theory, bifurcation analysis, numerical methods, SBML (systems biology makeup language) and Matlab programming. Applications in gene regulatory networks, cell cycle control, circadian rhythms, cell signaling.
Credit Hours: 3
Lecture Hours: 3
Level(s): Graduate
Instruction Type: Lecture

GBCB 5515 (MATH 5515) - Mathematical Methods for Modeling and Simulation of Biological Systems
Introduction to mathematical techniques for modeling and simulation, parameter identification and analysis of biological systems. Emphasis on both theoretical and practical issues and methods of computation, with concrete applications. Suitable for students from the mathematical and life sciences who have a basic foundation in multivariate calculus and ordinary differential equations. 5515: Continuous models and methods. 5516: Discrete models and methods.
Credit Hours: 3
Lecture Hours: 3
Level(s): Graduate
Instruction Type: Lecture

GBCB 5516 (MATH 5516) - Mathematical Methods for Modeling and Simulation of Biological Systems
Introduction to mathematical techniques for modeling and simulation, parameter identification and analysis of biological systems. Emphasis on both theoretical and practical issues and methods of computation, with concrete applications. Suitable for students from the mathematical and life sciences who have a basic foundation in multivariate calculus and ordinary differential equations. 5515: Continuous models and methods. 5516: Discrete models and methods.
Credit Hours: 3
Lecture Hours: 3
Level(s): Graduate
Instruction Type: Lecture

GBCB 5844 (CSES 5844) - Plant Genomics
Comprehensive overview of genomics and its applications. Topics include: molecular markers, map construction, map-based cloning, quantitative trait loci, and functional genomics. Even years. Pre: Knowledge of general principles of genetics and molecular biology. I.
Credit Hours: 3
Lecture Hours: 3
Level(s): Graduate
Instruction Type: Lecture

GBCB 5854 (CS 5854) - Computational Systems Biology
Phenomenological and data-driven models of molecular interaction networks. Applications of graph theory, discrete algorithms, data mining, and machine learning to the modeling and analysis of molecular interaction networks. Biological applications. Interaction between biological and computational disciplines in systems biology. Must have GBCB pre-requisite and CS pre-requisites or graduate standing in CSA or equivalent.
Credit Hours: 3
Lecture Hours: 3
Level(s): Graduate
Instruction Type: Lecture

GBCB 5874 - Problem Solving in Genetics, Bioinformatics, and Computational Biology
Research practicum in genetics, bioinformatics, and computational biology. Emphasis on the multidisciplinary and collaborative nature of research in genetics, bioinformatics, and computational biology. Exposure to the scientific method, the nature of research tools, strategies for publishing, and opportunities for research careers in genetics, bioinformatics, and computational biology. Permission required.
Credit Hours: 3
Lecture Hours: 3
Level(s): Graduate
Instruction Type: Lecture

GBCB 5974 - Independent Study

Credit Hours: 1 to 19
Lecture Hours: 1 to 19
Level(s): Graduate
Instruction Type: Independent Study, Independent Study 1

GBCB 5984 - Special Study

Credit Hours: 1 to 19
Lecture Hours: 1 to 9
Level(s): Graduate
Instruction Type: Lecture, Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5

GBCB 7994 - Research and Dissertation

Credit Hours: 1 to 19
Level(s): Graduate
Instruction Type: Research

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