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Institution:
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Rochester Institute of Technology
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Subject:
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Description:
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This course will provide an in-depth exposure to advanced techniques in computational genomics. Topics may include: gene fi nding, genetic algorithms, hidden Markov models, neural networks, gene expression analysis, clustering algorithms, probabilistic models of evolution, phylogenetic trees, simple and complex diseases: gene mapping, SNP analysis, machine learning, molecular network analysis, probabilistic framework for modeling and inference, systems biology. (Introduction to Bioinformatics Computing) Class 3, Lab 3, Credit 4
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lab
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(585) 475-2411
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Quarter
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