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EN.601.449

Computational Genomics: Applied Comparative Genomics

Johns Hopkins University 3 credits Computer Science

Course Description

The goal of this course is to study the leading computational and quantitative approaches for comparing and analyzing genomes starting from raw sequencing data. The course will focus on human genomics and human medical applications, but the techniques will be broadly applicable across the tree of life. The topics will include genome assembly & comparative genomics, variant identification & analysis, gene expression & regulation, personal genome analysis, and cancer genomics. The grading will be based on assignments, a midterm exam, class presentations, and a significant class project. Prerequisites: knowledge of the Unix operating system and programming expertise in a language such as R or Python. Prerequisite(s): Students may receive credit for only one of EN.601.449, EN.601.649, EN.601.749.

Code
EN.601.449
Credits
3
Subject
Computer Science

Programs That Include This Course

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