Open jordenrabasco opened 1 year ago
If this is included, it should be instructive. So should tell the tutorial reader something about the type of data we are reading in and what use it will have.
There probably should be a use of this data later, probably at the visualization stage where something about the consistency of the results across time-points within a subject is shown.
I don't understand why a metadata csv file is being read in, and the filenames are being parsed for sample metadata? It should be one or the other, no?
Ah okay I will define what a metadata file looks like and how it will be used downstream.
Okay cool, I will work on setting a graph up like that later one. Maybe another section?
The filenames are being parsed due to me wanting to come into line more with the names on the graph in your other tutorial since the same data is being used. I thought this would be good in case someone wanted to do something involving both tutorials.
updated
Here I load the metadata for the fecal dataset...I don't use the loaded data after this section, but I keep it in case we wanted to add something later on that would utilize the metadata...should I keep it in?
https://github.com/jordenrabasco/Long_read_processing_tutorial/blob/afa1a962b305b79b0473a644cd9133a992bfa9ea/long%20read%20Tutorial.Rmd#L200-L215