7.91J | Spring 2014 | Graduate
Foundations of Computational and Systems Biology
Course Description
This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, …
This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.
Learning Resource Types
theaters Lecture Videos
notes Lecture Notes
group_work Projects
assignment_turned_in Programming Assignments with Examples
assignment Presentation Assignments
assignment Written Assignments
co_present Instructor Insights
The letters A, T, G, and C, presented in different sizes and colors.
Splice signal motifs of five species, created using the PICTOGRAM program. The height of each letter is proportional to the frequency of the corresponding base at the given position, and bases are listed in descending order of frequency from top to bottom. Source: Figure 2 of Lim, Lee P., and Christopher B. Burge. “A Computational Analysis of Sequence Features Involved in Recognition of Short Introns.” Proceedings of the National Academy of Sciences 98, no. 20 (2001): 11193–8. (Courtesy of National Academy of Sciences)