Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Harvard University

Genomics Data Analysis

Harvard University via edX XSeries


The Genomics Data Analysis XSeries is an advanced series that will enable students to analyze and interpret data generated by modern genomics technology.

Using open source software, including R and Bioconductor, you will acquire skills to analyze and interpret genomic data.

This XSeries is perfect for those who seek advanced training in high-throughput technology data. Problem sets will require coding in the R language to ensure learners fully grasp and master key concepts. The final course investigates data analysis for several experimental protocols in genomics.


Courses under this program:
Course 1: High-performance Computing for Reproducible Genomics
Learn how to bridge from diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing.

Course 2: Case Studies in Functional Genomics
Explore data analysis of several experimental protocols, using open source software, including R and Bioconductor.

Course 3: Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays
The structure, annotation, normalization, and interpretation of genome scale assays.

Taught by

Rafael Irizarry, Michael Love and Vincent Carey


Start your review of Genomics Data Analysis

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.