G4120: Introduction to Computational & Quantitative Biology Spring 2017

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
Download in PDF format (34 K)

Lecture 1: Introduction to Bioinformatics
Download in PDF format (1.5 M)

Lecture 2: Introduction to Computing
Download in PDF format (748 K)

Lecture 3: Introduction to Databases and Internet Resources
Download in PDF format (723 K)

Lecture 4: Unix and Scripting
Download in PDF format (235 K)

Lecture 5: Introduction to Sequence Analysis
Download in PDF format (639 K)

Lecture 6: Introduction to Genomics
Download in PDF format (12.6 M)

Lecture 7: Introduction to Programming
Download in PDF format (325 K)

Lecture 8: Introduction to Python and Biopython
Download in PDF format (119 K)

Lecture 9: Quantitative Analysis and Presentation of Visual Data
Download in PDF format (1.5 M)

Lecture 10: Introduction to R and RStudio
Download in PDF format (168 K)

Lecture 11: Biostatistics and R
Download in PDF format (627 K)