Hello,
I have been working on target sequencing (~100 genes) that were generated with HiSeq (96 samples, each on 2 lanes) sequencer. After converting bcl to fastq, the analysis was followed by adaptor trimming and and alignment. The coverage was always approx 99% at 30x.
We are now moving to NextSeq (48 samples, each on 4 lanes, 150bp) and I understand there is a quite a bit of difference between the two sequencers, one of them being a lot of background noise can be generated.
My question is, are there any relevant preprocessing steps to include or points to keep in mind before adaptor trimming and alignment for data being generated from NextSeq ?
Thank you
I never heard of platform-specific data processing (at least within the Illumina empire). Imho, it is also not advisable, as you may introduce unwanted biases.
Can you reference that?
there are many papers but this is just one of them I have on me right away https://www.nature.com/articles/srep43169?WT.feed_name=subjects_sequencing