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.
Rafael Irizarry, Michael Love and Vincent Carey