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Uedu Open / Computational Personal Genomics: Making Sense of Complete Genomes
6.881

Computational Personal Genomics: Making Sense of Complete Genomes

Prof. Manolis Kellis | Spring 2016
Science & Math Biology Computation and Systems Biology Genetics Science
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CC BY-NC-SA 4.0
課程簡介
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.
課程資訊
來源MIT 開放式課程
科系Electrical Engineering and Computer Science
語言English
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