What you'll learn
- Advanced techniques to analyze genomic data
- How to structure, annotate, normalize, and interpret genome-scale assays
- How to bridge diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing
- How to analyze data from several experimental protocols, using open source software, including R and Bioconductor
About this series
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.
This series includes
Harvard T.H. Chan School of Public Health