Bioinformatics and Proteomics OpenCourseWare: MIT's Free Bachelor Level Bioinformatics Class
'Bioinformatics and Proteomics,' an OpenCourseWare that is provided by the Massachusetts Institute of Technology (MIT), focuses on developing an understanding of the methods and techniques that are essential for the study of proteomics and bioinformatics. Advanced undergraduates and graduate students earning degrees in Biology, Computer Science or Engineering will find this undergraduate-level information beneficial.
Bioinformatics and Proteomics: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Undergraduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Bioinformatics and Proteomics: Course Description
Proteomic analysis is an emerging field that utilizes algorithms, statistics, databases and other tools of bioinfomatics for analyzing large amounts of data for the purpose of improving the knowledge base in the study of genomics and proteins. 'Bioinformatics and Proteomics' is a free course provided by the MIT Department of Electrical Engineering and Computer Science and Professors Gil Alterovitz, Manoli Kellis and Marco Ramoni. Students are taught practical methods and techniques that will prepare them for the variety of tasks associated with the analysis, evaluation and interpretation of proteomic data. The lectures include a review of modern biology, sequence analysis and microarray expression data analysis. Bayesian methodologies and bioinformatics applications in the biotech industry are also discussed. Students investigate statistical models and stochastic processes in proteomics, signal processing for proteomics, biological methods, automation and robotics.
The materials for this course include downloadable lecture notes and lab assignments. There is also a reading list and an extensive collection of related resources. If you would like to take advantage of this OpenCourseWare, visit the bioinformatics and proteomics course page.
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