BST 283 - Cancer Genome Analysis or return to Course Catalog Search
203516 – Section 1
|Harvard T.H. Chan School of Public Health||Biostatistics||Scott Carter|
|Term||Day and Time||Location|
|Spring (Full Term) 2018 (show academic calendar)||MW 11:30 a.m. - 1:00 p.m.||FXB G03 (HSPH)|
5 (show credit conversion for other schools)
Credit in Harvard T.H. Chan School of Public Health is equivalent to:
This course is an introduction to modern statistical computing techniques used to characterize and interpret cancer genome sequencing datasets. This Master's level course will begin with a basic introduction to DNA, genes, and genomes for students with no biology background. It will then introduce cancer as an evolutionary process and review landmarks in the history of cancer genetics, and discuss the basics of sequencing technology and modern Next Generation Sequencing. The course will cover the main steps involved in turning billions of short sequencing reads into a representation of the somatic genetic alterations characterizing an individual patient?s cancer, and will build on this foundation to study topics related to identifying mutations under positive selection from multiple tumors sampled in a population.By the end of the course, students will be able to apply state-of-the art analysis to cancer genome datasets and to critically evaluate papers employing cancer genome data.
Students outside of HSPH must request instructor permission to enroll in this course
|Eligible for cross-registration|
With permission of instructor/subject to availability
MIT students please cross register from MIT's Add/Drop application.