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中央大學 AQI 55 25°C PM2.5 14
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Uedu Open / Computational Personal Genomics: Making Sense of Complete Genomes
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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
Course introduction
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.
Course Information
SourceMIT 開放式課程
DepartmentElectrical Engineering and Computer Science
LanguageEnglish
Number of videos0
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