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  • cew85911
    Junior Member
    • Nov 2013
    • 1

    #1

    Adapter sequence trimming

    Hi all,

    I am new to next-gen bioinformatics. Been working on MiSeq data (targeted amplicon sequencing) for the past few weeks, using tools on Galaxy.

    Initially I found that the percentage of reads aligned by BWA (to reference hg19) was quite low ~50%. Just by eyeballing I noted that the majority of the unmapped reads were 'contaminated' by the adapter sequence: CTGTCTCTTATACACATCT (library was Nextera); but intriguingly the adapter sequence did not just occur at the 3' ends, some reads had them in the middle.

    So I decided to remove the adapter using a tool called Clip on Galaxy (this improved the percentage of mapped reads a lot!), and compared the variant-calling (GATK) results using adapter-trimmed reads versus untrimmed reads. I found that variant-calling was actually worse with adapter-trimmed reads - mapping quality in particular was generally lower e.g. a lot of MQ0 reads, and some true variants were skipped because read depth was too low. I wonder why this would happen and was I doing something wrong? I have read other threads and someone suggested that adapter sequence removal is actually not necessary for reference-based alignment. Is this true even when the percentage of aligned reads is low?

    Any advice is greatly appreciated. Thanks!
  • relipmoc
    Member
    • Jul 2011
    • 58

    #2
    Generally speaking, MQ0 means that there are multiple hits for a read in the target genome. If MQ decrease from none-zero to zero after adapter trimming, those reads must be over-trimmed. Though some people suggest there's no need to do adapter removal for reference-based alignment, it is undeniable the contaminants do influence mapping quality and mapping ratio, the problem is how much they influence the alignment software and how smart the alignment software is.

    For adapter trimming, I suggest a software, i.e. skewer, which was developed by ourselves. I'm not to reinvent the wheels, but I found none of the existing adapter trimmers meet our requirement.

    Comment

    • relipmoc
      Member
      • Jul 2011
      • 58

      #3
      Another comment: don't just pay attention to the percentage of mapped data, but pay more attention to the number of uniquely mapped reads. If it improves after adapter trimming, the trimmed reads will improve downstream SNP calling most of the time.

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