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Course Info

  • Course Number / Code:
  • 7.90J (Spring 2005) 
  • Course Title:
  • Computational Functional Genomics 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Biology 
  • Course Instructor(s):
  • Prof. David Gifford
    Prof. Tommi Jaakkola 
  • Course Introduction:
  •  


  • 7.90J / 6.874J Computational Functional Genomics



    Spring 2005




    Course Highlights


    This course features a complete set of lecture notes.


    Course Description


    The course focuses on casting contemporary problems in systems biology and functional genomics in computational terms and providing appropriate tools and methods to solve them. Topics include genome structure and function, transcriptional regulation, and stem cell biology in particular; measurement technologies such as microarrays (expression, protein-DNA interactions, chromatin structure); statistical data analysis, predictive and causal inference, and experiment design. The emphasis is on coupling problem structures (biological questions) with appropriate computational approaches.


    Technical Requirements


    Any number of biological sequence comparison software tools can be used to import the FASTA formatted sequence (.fa) files found on this course site. MATLAB® software is required to view and run the .m and .mat files found on this course site. Postscript viewer software, such as Ghostscript/Ghostview, can be used to view the .ps files found on this course site. 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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