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BIT 573: Protein-Protein Interactions
2.00 Credits
North Carolina State University
The interactions of proteins mediate numerous biological processes of cells. This course focuses on ways to identify and study protein-protein interactions. Students will apply a variety of methods for studying protein-protein interactions, focusing on the advantages and limitations of each technique and how to apply the methods in a laboratory setting. In lab, students will perform a yeast two-hybrid experiment and a co-immunoprecipitation from proteins expressed in mammalian cell culture to confirm detected interactions. This is a half-semester course.
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BIT 574: Plant Genetic Engineering
2.00 Credits
North Carolina State University
This course covers fundamental hands-on techniques and strategies in plant genetic engineering. Plants are major sources of food, fiber and fuel and provide model systems for both fundamental and applied research. Students will learn techniques for stable and transient transformation of plants and plant cell cultures and selection and detection of transgene expression. Additional topics covered will include methods to generate and screen for mutants, synthetic biology and applications of plant genetic engineering. This is a half-semester course. Credit is not allowed for both BIT 474 and BIT 574.
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BIT 574 - Plant Genetic Engineering
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BIT 576: Computation Analysis of Biomolecular Sequences
2.00 Credits
North Carolina State University
The haploid human genome occupies a total of just over 3 billion DNA base pairs. This information is not contained in books, but stored in electronic databases. This course utilizes databases with information about sequences, structures, and interactions of biological material to infer function by comparative analysis. This course is designed for life scientists from all fields to introduce them to the power of bioinformatics and enable them to access and utilize biological information in databases for their own research. Credit will only be given for one of the following: BIT 476 OR BIT 576 OR PB 476 OR PB 576.
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BIT 576 - Computation Analysis of Biomolecular Sequences
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BIT 581: Plant Transformatn
2.00 Credits
North Carolina State University
No course description available.
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BIT 581 - Plant Transformatn
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BIT 595: Special Topics
1.00 - 3.00 Credits
North Carolina State University
Offered as needed to present materials not normally available in regular course offerings or for offering of new courses on a trial basis.
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BIT 595 - Special Topics
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BIT 696: Summer Thesis Res
1.00 Credits
North Carolina State University
No course description available.
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BIT 696 - Summer Thesis Res
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BIT 815: Advanced Special Topics
1.00 - 6.00 Credits
North Carolina State University
Intensive three-week or six-week courses in advanced technologies such as DNA sequencing, downstream processing, immunological techniques, construction of c-DNA libraries, mammalian embryo manipulation, plant transformation, bioreactor design, cloning in gram positive bacteria, electron microscopy or techniques in yeast molecular biology.
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BIT 815 - Advanced Special Topics
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BIT 896: Summer Dissert Res
1.00 Credits
North Carolina State University
No course description available.
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BIT 896 - Summer Dissert Res
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BMA 567: Modeling of Biological Systems
4.00 Credits
North Carolina State University
An introduction to quantitative modeling in biology. Use of Forrester diagrams, probabilistic and deterministic description of dynamic processes, development of model equations, simulation methods and criteria for model evaluation. Examination of current literature dealing with application of models and simulation in biology. Individual and class modeling projects.
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BMA 567 - Modeling of Biological Systems
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BMA 573: Mathematical Modeling of Physical and Biological Processes I
3.00 Credits
North Carolina State University
Introduction to model development for physical and biological applications. Mathematical and statistical aspects of parameter estimation. Compartmental analysis and conservation laws, heat transfer, and population and disease models. Analytic and numerical solution techniques and experimental validation of models. Knowledge of high-level programming languages required.
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BMA 573 - Mathematical Modeling of Physical and Biological Processes I
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