G4120: Introduction to Computational & Quantitative Biology Fall 2022

Course Director: Oliver Jovanovic, Ph.D.

Description: This course will introduce graduate students to the concepts and methodology of bioinformatics, computational biology, genomics, next-generation sequencing analysis, systems biology, analysis and presentation of visual data 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, access to a computer with a recent version of Macintosh OS X or macOS installed.

Time and Location: The course will meet Tuesdays, from 1:00 PM to 2:30 PM in HHSC 1307. A related hands-on session will follow each Thursday, from 4:30 PM to 5:30 PM in HHSC 1307.

Teaching Assistant: Daniel Caron

Introduction to Computational Biology Fall 2022 Syllabus
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Lecture 1: Introduction to Computational Biology
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Lecture 2: Introduction to Internet Resources and Databases
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Lecture 3: Introduction to Unix and Scripting
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Lecture 4: Introduction to Programming
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Lecture 5: Introduction to Python and Biopython
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Lecture 6: Quantitative Analysis and Presentation of Visual Data
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Lecture 7: Introduction to Statistics
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Lecture 8: Introduction to R, RStudio and Bioconductor
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Lecture 9: Introduction to Genomics
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Lecture 10: Introduction to RNA-Seq
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