The past decade has seen a vast increase in the amount of data available to biologists, driven by the dramatic decrease in cost and concomitant rise in throughput of various next-generation sequencing technologies, such that a project unimaginable 10 years ago was recently proposed, the Earth BioGenomes Project, which aims to sequence the genomes of all eukaryotic species on the planet within the next 10 years. So while data are no longer limiting, accessing and interpreting those data has become a bottleneck. One important aspect of interpreting data is data visualization. This course introduces theoretical topics in data visualization through mini-lectures, and applied aspects in the form of hands-on labs. The labs use both web-based tools and R, so students at all computer skill levels can benefit. Syllabus may be viewed at https://tinyurl.com/DataViz4GenomeBio.
What you'll learn
understand the principles of data visualization in the context of genome biology
utilize web-based tools for data visualization
apply R for advanced data visualization techniques
create effective visual representations of genomic data
Course objectives
to introduce fundamental concepts of data visualization
to provide practical experience in using visualization tools
to enhance data interpretation skills in genomic research