Chevron Left
Back to Data Visualization for Genome Biology

Learner Reviews & Feedback for Data Visualization for Genome Biology by University of Toronto

4.7
stars
19 ratings

About the Course

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....

Top reviews

JJ

Sep 10, 2024

Found it very informative. Glad to be aware now that there could be color-blind people present in the room.

JO

May 25, 2024

Great course, especially appreciated the UX design approach to data visualisation

Filter by:

1 - 5 of 5 Reviews for Data Visualization for Genome Biology

By JoMD

•

Sep 10, 2024

Found it very informative. Glad to be aware now that there could be color-blind people present in the room.

By Julien O

•

May 26, 2024

Great course, especially appreciated the UX design approach to data visualisation

By Shanelka J

•

Jul 13, 2024

This course series is what I was looking for.

By Shahd A A A

•

Aug 31, 2024

very good course with real skills

By Bidya M

•

Sep 21, 2024

the whole course was good but I felt like the R language part was not very necessary in this particular course.. I mean I looked forward to the expression analysis tools without using R and I struggled there as I have no prior knowledge for it. and Thank you for introducing to new tools for gene expression analysis