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1) QC the data with fastp. This'll trim out adapters and toss reads that are poor quality.
2) Use bowtie2 to align reads against CHM13. This will let you separate human from nonhuman (important, as human sequences are a common contaminant in many nonhuman genomes).
2) Use bowtie2 to align reads against CHM13. This will let you separate human from nonhuman (important, as human sequences are a common contaminant in many nonhuman genomes).
3) Use Kraken2 to classify remaining reads. I'd start with the standard database.