Open Gregory94 opened 4 years ago
For example, we can have a plot like this one :
where for example we would like to see for some target genes , how the metric we choose , like: normalized density of transposons (by the reads for example) along their length , differs across genetic backgrounds.
In x and y axis will be the choosen metrics in each of the datasets (two in this case)
For example, using a comparison between two datasets (e.g. two different genetic backgrounds) we can get an overview which genes have a large difference in the number of transposon insertions and/or reads between the two datasets. [This note can potentially be broken down in smaller steps, but it might be good idea to start thinking about what kind of information we want to get out of it].