Binning issue histogram read length barcoded samples

[QCroughs]

Hi, thank you for providing this tool! I came across an issue trying to compare read lengths for different barcoded samples in my sequencing run:

• for barcoded sample 04, read lengths are distributed over 15 bins, where as for all other barcodes (see barcode02 in image) the read lengths are distributed across considerably more bins.

• I checked the NanoStats file and there is little to no difference for number of reads, bases median/mean read length or Q scores for barcode04 and the others in the sequencing run.

• Any idea what would be the cause of this? I found this reference to bins at line 407 in nanoplotter_main.py > what is the 'maxvalx'?

• Is there an optional command to include uniform bin sizes across barcoded samples? Thank you in advance!

[wdecoster]

Hi!

maxvalx is the largest value in the array. As you can see, that sample has shorter reads (the x-axis does not go to 100,000 like the other sample.
For comparing across samples I would suggest you look at NanoComp. Could you check if that tool helps you with this?

Wouter