Genomics Data Analysis

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.