G4120: Introduction to Computational & Quantitative Biology

Course Director: Oliver Jovanovic, Ph.D.

Description: This course will introduce graduate students to the concepts and methodology of bioinformatics, computational biology, next-generation sequencing analysis, systems biology, advanced imaging and biostatistics. It will introduce the databases, web sites, software, hardware, algorithms and programming languages currently used to analyze and quantify biological data and explain how these tools are best used. 

Requirements: Previous or concurrent graduate-level coursework in molecular biology and genetics, basic computer literacy. A laptop computer with Macintosh OS X 10.11 or later installed is recommended.

Time and Location: The course will meet Mondays, between 12 PM and 1:30 PM, in HHSC 1307 (Hammer Health Sciences Building, 701 W. 168th St.).

Introduction to Computational Biology Spring 2017 Syllabus
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Lecture 1: Introduction to Bioinformatics
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Lecture 2: Introduction to Computing
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Lecture 3: Introduction to Databases and Internet Resources
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Lecture 4: Unix and Scripting
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Lecture 5: Introduction to Sequence Analysis
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Lecture 6: Introduction to Genomics
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Lecture 7: Introduction to Programming
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Lecture 8: Introduction to Python and Biopython
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Lecture 9: Quantitative Analysis and Presentation of Visual Data
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Lecture 10: Introduction to R and RStudio
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Lecture 11: Biostatistics and R
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