Only other thing to watch is read2 poly-G, as insert increases the percent of read2 failure increases and you get a ploy-G in read2. Future BCLconvert update will remove and Dragen already cleans them up as mate unmapped for human at least

Demultiplexing by lane or across the flowcell? Running bclConvert on a 25B lane should be under 2 hours? We moved to lane level demux with the 6k to take advantage of available compute

Modules #QUAST and #Trimmomatic got minor updates, and #VEP and #BclConvert got bugfixes. There were also a number of tweaks and fixes for AI summaries ✨

See the full changelog here: github.com/MultiQC/Mult...

If bclconvert is done then output of that too passed to multiqc for a detailed summary

💫 12 modules updated with features, tweaks and fixes:

- GATK BQSR
- Pychopper
- fastp
- RNA-SeqC
- phantompeakqualtools
- QualiMap RNASeq
- QualiMap BamQC
- DRAGEN
- Interop
- Dedup
- Bclconvert
- Nanostat

Anyone else see this issue on their NovaSeq X Plus? Side A in lane 8 has a noticeable increase in percent one mismatch reads in bclConvert stats