G4120: Introduction to Computational & Quantitative Biology Fall 2019

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 installed is recommended.

Time and Location: The course will meet Tuesdays, between 11 AM and 12:30 PM, in HHSC 1307 (Hammer Health Sciences Building, 701 W. 168th St.).

Introduction to Computational Biology Fall 2019 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 Internet Resources and Databases
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Lecture 4: Introduction to Unix and Scripting
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Lecture 5: Introduction to Programming
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Lecture 6: Introduction to Python and Biopython
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Lecture 7: Introduction to Genomics
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Lecture 8: Quantitative Analysis and Presentation of Visual Data
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Lecture 9: Introduction to Sequence Analysis
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Lecture 10: Introduction to Statistics
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Lecture 11: Introduction to R and RStudio
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