Bioinformatics and Computational Biology Solutions (Using R and Bioconductor) OpenCourseWare: Free Undergraduate Level Bioinformatics Course by Johns Hopkins University

Published Dec 31, 2008

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'Bioinformatics and Computational Biology Solutions Using R and Bioconductor,' a free OpenCourseware project offered by Johns Hopkins University, examines the fundamental concepts of R software and the primary features of the Bioconductor project. This popular open source software package is used for analyzing information gathered from experiments conducted by researchers in fields like genetics and molecular biology. The information taught will be beneficial to undergraduate students interested in pursuing a Bachelor of Science degree in Genetics or a related field.

Bioinformatics and Computational Biology Solutions Using R and Bioconductor: Course Specifics

Degree Level Free Audio Video Downloads
Undergraduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
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Bioinformatics and Computational Biology Solutions Using R and Bioconductor: Course Description

Students interested in careers in health science research must be able to conduct experiments that require high volumes of data. They must also be comfortable using highly complex statistical computing software to analyze the collected data. The instructor for this course, Rafael Irizarry of the Department of Biostatistics at Johns Hopkins University in Baltimore, Maryland, teaches the basic concepts behind microarray technology and the methods and tools used for analyzing microarray information. Students will also learn to write the computer code used for data analysis in genomics and molecular biology experiments. The course consists of a series of seven lectures, including an introduction to molecular biology and array technology and an introduction to differential expressions and several labs. The course will be taught using the R software package, an industry standard data analysis tool. Students will also have the opportunity to review and analyze journal articles and other scholarly writings by genomists and molecular biologists.

The class lecture material is in a format that students can download on their computers. If you would like to take this free course, go to the bioinformatics and computational biology solutions course page.

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