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  • fhb
    Member
    • Aug 2010
    • 10

    error correction for RNA-seq reads

    Hi everyone,

    can someone share any experience using error correction for RNA-seq reads. I am reluctant to use it since I have not seen any paper using the available tools.

    Thanks,
    Fernando
  • bioinfosm
    Senior Member
    • Jan 2008
    • 483

    #2
    What kind of error correction you are referring to?
    --
    bioinfosm

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    • fhb
      Member
      • Aug 2010
      • 10

      #3
      wrong nucleotide call from the sequencing machine.

      Comment

      • NicoBxl
        not just another member
        • Aug 2010
        • 264

        #4
        in you're fastq file, you've an information of the quality of the base calling. You can filter the reads with a bad quality with a little perl script per example ( or with R too )

        Comment

        • fhb
          Member
          • Aug 2010
          • 10

          #5
          Originally posted by NicoBxl View Post
          in you're fastq file, you've an information of the quality of the base calling. You can filter the reads with a bad quality with a little perl script per example ( or with R too )
          I am glad you wrote this because that is the approach that I've been taking: filtering reads with overall bad quality and trimming bad quality bases.

          This is the reason I wanted to know if people have done error correction, and if it has improved their percentage or aligned reads better then trimming nucleotides on the basis of the quality of the call.

          thanks very much,
          Fernando

          Comment

          • NicoBxl
            not just another member
            • Aug 2010
            • 264

            #6
            here's a an example of workflow to trim bad quality tails with R

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            • bioinfosm
              Senior Member
              • Jan 2008
              • 483

              #7
              thats an awesome collection from UCR!
              --
              bioinfosm

              Comment

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