JJ
Found it very informative. Glad to be aware now that there could be color-blind people present in the room.
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.
JJ
Found it very informative. Glad to be aware now that there could be color-blind people present in the room.
JO
Great course, especially appreciated the UX design approach to data visualisation
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Found it very informative. Glad to be aware now that there could be color-blind people present in the room.
Great course, especially appreciated the UX design approach to data visualisation
This course series is what I was looking for.
very good course with real skills
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