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  • StephaniePi83
    Member
    • Sep 2011
    • 52

    Unique mapper on genome - multi mapper on transcriptome

    Hi everybody,
    I'm analyzing iCLIP data (technique to study protein-RNA interactions on a genome-wide scale). I have two populations bound by the protein of interest - small RNA and mRNA.
    I take all reads that map uniquely to the genome and i wanted to know all transcript that are bound by our protein of interest.
    But i have a problem, i use bowtie to map unique mapper reads on the genome tothe transcriptome, but unique mapper on the genome became multi mapper on transcriptome, i'm confused, how to deal with it ? I have some very small reads ( the smallest are 13 nt).
    How can i assign reads to transcript without mistake, i mean how to deal with reads aligning to multiple genes ?
    do i have to associate each read with all transcripts it aligns to?
    Thanks in advance for your help.
    Last edited by StephaniePi83; 08-07-2012, 12:49 AM.
  • paulsydney
    Junior Member
    • Nov 2011
    • 6

    #2
    Hi Stephanie,

    I wonder if you have published your iCLIP study recently. I am keen to learn about how to analyse iCLIP data.

    Comment

    • paulsydney
      Junior Member
      • Nov 2011
      • 6

      #4
      Thanks Stephanie. I am still trying to decode many parts of the analysis section of that paper. Did you end up using any other bioinformatics tools apart from bowtie? I am not to certain how to extract annotation data from my map.

      Comment

      • StephaniePi83
        Member
        • Sep 2011
        • 52

        #5
        After removing adapter from my reads, i mapped all read on the genome allowing up to 2 mismatches with bowtie. I translate bowtie output file to bed file; then i use Bedtools (intersectBed function) to annotate all reads.

        Comment

        • paulsydney
          Junior Member
          • Nov 2011
          • 6

          #6
          Hi Stephanie,

          What tools did you use to randomise iCLIP position when doing the pentamer z-score analysis?

          Comment

          • StephaniePi83
            Member
            • Sep 2011
            • 52

            #7
            Hi Paul,
            I didn't do this analysis neither the statistical analysis. My supervisor send our data to a person who did a pipeline to analyse iclip data (he did all bioinformatic analysis in the paper i send you).
            Last edited by StephaniePi83; 09-04-2012, 12:44 AM.

            Comment

            • kopi-o
              Senior Member
              • Feb 2008
              • 319

              #8
              Unless I'm misunderstanding something, there isn't anything weird about unique genome mappers that are also multiple transcriptome mappers. Consider a read that spans a splice junction and can be uniquely mapped to the genome. If the gene containing the splice junction has multiple isoforms containing that splice junction, the read will map to multiple isoforms in the transcriptome reference. Does that answer the question?

              Comment

              • kopi-o
                Senior Member
                • Feb 2008
                • 319

                #9
                Unless I'm misunderstanding something, there isn't anything weird about unique genome mappers that are also multiple transcriptome mappers. Consider a read that spans a splice junction and can be uniquely mapped to the genome. If the gene containing the splice junction has multiple isoforms containing that splice junction, the read will map to multiple isoforms in the transcriptome reference. Does that answer the question?

                Comment

                • paulsydney
                  Junior Member
                  • Nov 2011
                  • 6

                  #10
                  Ah ic... That was a great idea. I should suggest that to my supervisor too actually.

                  Comment

                  • StephaniePi83
                    Member
                    • Sep 2011
                    • 52

                    #11
                    Hi kopi-o,
                    This is what i was thinking ! it map to all transcript of the same gene on transcriptome, and some reads will map to exon-exon juction that are not present on the genome.

                    Comment

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