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Engineering and Applied Sciences >> Bioinformatics


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Course Info

  • Course Number / Code:
  • 6.092 (January (IAP) 2005) 
  • Course Title:
  • Bioinformatics and Proteomics 
  • Course Level:
  • Undergraduate / Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Prof. Gil Alterovitz
    Prof. Manoli Kellis
    Prof. Marco Ramoni 
  • Course Introduction:
  •  


  • 6.092 Bioinformatics and Proteomics



    January (IAP) 2005




    Course Highlights


    This course features a complete set of downloadable lab assignments in the labs section. In addition, an extensive bibliography of assigned and recommended readings is provided in the readings section.


    Course Description


    This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.


    Technical Requirements


    MATLAB® software is required to run the .m files found on this course site. Microsoft® Excel software is recommended for viewing the .xls files found on this course site. Free Microsoft® Excel viewer software can also be used to view the .xls files. Any number of software tools can be used to import the .dat files found on this course site. Please refer to the course materials for any specific instructions or recommendations. File decompression software, such as Winzip® or StuffIt®, is required to open the .zip files found on this course site.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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