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  • Azazel
    Member
    • Oct 2010
    • 52

    [cufflinks] every transcript is only one exon

    I have a problem with cufflinks, all the transcripts which I assemble always consist of just one exon in the resulting GTF file!

    I started with fasta files, aligned them with BLAT. Converted the output to bed12. Converted the bed12 to bam with bamToBed of samtools, and sorted.

    Then I used cufflinks and get a GTF file. In that GTF file, the assembled transcripts look good, but each transcript is just one exon long: there is no intron-exon structure, altough it *is* still in the bed12 file, and there are no alternative splicing pathways generated.

    I am a beginner with cufflinks. Any help appreciated. Thanks.
    Last edited by Azazel; 09-12-2012, 10:34 PM. Reason: typos
  • Amative
    Member
    • Dec 2011
    • 45

    #2
    Hi Azazel, were you able to figure out you problem ?

    Thanks!

    Comment

    • AJenkins
      Member
      • Nov 2013
      • 13

      #3
      I am having this same problem, is there any reason why?

      Comment

      • dpryan
        Devon Ryan
        • Jul 2011
        • 3478

        #4
        All of the splicing information would get lost in the process of converting to BED format. There's no possible way that pipeline could ever not produce only single-exon loci.

        Comment

        • 11xinqi
          Member
          • Mar 2011
          • 31

          #5
          Originally posted by Azazel View Post
          I have a problem with cufflinks, all the transcripts which I assemble always consist of just one exon in the resulting GTF file!

          I started with fasta files, aligned them with BLAT. Converted the output to bed12. Converted the bed12 to bam with bamToBed of samtools, and sorted.

          Then I used cufflinks and get a GTF file. In that GTF file, the assembled transcripts look good, but each transcript is just one exon long: there is no intron-exon structure, altough it *is* still in the bed12 file, and there are no alternative splicing pathways generated.

          I am a beginner with cufflinks. Any help appreciated. Thanks.
          Hi, Azazel, have you figure out what is the problem about transcripts with only one exon? I kind of met such problem. In my case, I used tophat + cufflinks to detect the differential expression. I have 3000 differentially expressed genes. 2800 genes of them are single-exon genes. The other 200 genes are multiple-exons gene.

          If you know why cufflinks give out so many one exon transcript, please tell me . thank you

          Comment

          • dpryan
            Devon Ryan
            • Jul 2011
            • 3478

            #6
            Originally posted by 11xinqi View Post
            Hi, Azazel, have you figure out what is the problem about transcripts with only one exon? I kind of met such problem. In my case, I used tophat + cufflinks to detect the differential expression. I have 3000 differentially expressed genes. 2800 genes of them are single-exon genes. The other 200 genes are multiple-exons gene.

            If you know why cufflinks give out so many one exon transcript, please tell me . thank you
            The cause of your issue will be completely different. Please start a new thread.

            Comment

            • 11xinqi
              Member
              • Mar 2011
              • 31

              #7
              Originally posted by dpryan View Post
              The cause of your issue will be completely different. Please start a new thread.
              What you do mean about starting a new thread. would you please talk a little bit more?

              Comment

              • dpryan
                Devon Ryan
                • Jul 2011
                • 3478

                #8
                Originally posted by 11xinqi View Post
                What you do mean about starting a new thread. would you please talk a little bit more?
                That means to post a new question (not a reply to a previous question) on this forum, giving details about the commands you used.

                Comment

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