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Computational Analysis of the Human Genome
MCB 131

Course Information

Description

The human genome encodes the molecular instructions underlying human development, physiology, and disease. Understanding how differences in DNA sequence contribute to health and disease remains a central challenge in modern biology and medicine. This course provides a quantitative introduction to computational and statistical methods for analyzing human genome sequencing data. Topics include modern DNA sequencing technologies, methods for mapping sequencing data to the genome, the structure of the human genome, and computational approaches for detecting and interpreting genetic variation. Through problem sets and hands-on computational labs, students will analyze genome sequencing datasets to identify genetic variants associated with human disease, including cancer. The course emphasizes connecting large-scale genomic data to biological insight and emerging applications in precision medicine.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Lecture
Grading Basis FAS Letter Graded
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level For Undergraduate and Graduate Students