- But I have a file with R1 sequences and a file with R2 sequences so the software recognises the correct verse of the sequences, doesn’t it? If it doesn’t matter and the adapters help the software to recognise the right verse of the sequences should I consider the kraken2 report obtained from the analysis on the “dirty” sequences more accurate than the report on the “clean” ones?
- What happens if I have short reads that align on different genomes? Does kraken2 put them in the unclassified cluster?
- why does it happen that if I have all sequences of 100-102 nt, and adapters of 34 nt, when I remove the adapters I find reads with length in a range of 30-90 nt? Shouldn’t I find only reads of 66-68 nt?
Sorry for all this questions but I really want to learn and understand!
Thank you!
Try centrifuge, ganon or other tools?
what are they for?