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We won't be able to help unless you provide detailed information on what you're doing.
Hi,
The data is RNA-seq clean data from human cfRNA non specific library which use fastp to filter low quality reads and ployA,T. And then use fastqc to quality control.
supplement, The alinment result of STAR and HISTAT2. The bad mapping result is a question .The result is following:
Due to the low mapping rate, i use the kraken2 to class the unmap reads which use the 300G library. Only 40% reads can class. The result is following:
i would appreciate if you could give me some advice.