Closed cwarden45 closed 2 years ago
I apologize, but I see the problem:
I needed to change the index length relative to the kite example, meaning that I needed to use -k 11
.
So, the correct code to index the ClickTags was as follows:
#!/bin/bash
NAME=ClickTagWhitelist
#NAME=BC41-60whitelist
python3 featuremap.py $NAME.csv --t2g $NAME.t2g --fa $NAME.fa --header --quiet
kallisto/kallisto index -i $NAME.idx -k 11 ./$NAME.fa
The pseudoalignment rate is now much better. For example, I now see processed 15,928,888 reads, 15,357,069 reads pseudoaligned
.
I hope that this can help others, and I am closing this ticket.
Hi,
Thank you very much for posting all of the materials associated with this paper and the methods.
In preparation to try and assist with some newly generated ClickTags data, I wanted to first make sure that I could run similar code on the example data.
However, I am getting a warning message that there are no pseudoaligned reads with the example data that you provide. Should I be concerned about this?
Here is the code that I am using to create the index:
And here is the code that I am using to start the sample barcode ClickTag assignments:
As far as I can tell, I believe that is similar to the code for this study was well as the general kite code example.
Just to make sure I wasn't overlooking anything, I also tried running the following code:
However, because the starting .bus file was basically empty, I think the downstream steps also did not work (with a segmentation fault)?
Thank you very much.
Sincerely, Charles