Computational Personal Genomics: Making Sense of Complete Genomes
6.881 · Electrical Engineering and Computer Science · Graduate · Spring 2016
Prof. Manolis Kellis
With the growing availability and lowering costs of genotyping and personal genome sequencing, the focus has shifted from the ability to obtain the sequence to the ability to make sense of the resulting information. This course is aimed at exploring the computational challenges associated with interpreting how sequence differences between individuals lead to phenotypic differences in gene expression, disease predisposition, or response to treatment.
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Attribution
Prof. Manolis Kellis. 6.881 Computational Personal Genomics: Making Sense of Complete Genomes. Spring 2016. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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