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  • Question: How to merge replicates of mapped reads out of Tophat for pathview and gage

    Hi, I have three biological replicates for my experiment. I wonder how should I merge the accepted_hits.bam out of Tophat for doing Pathview/gage analysis for "RNA-seq Pathway and Gene-set analysis workflow"? Let's name the accepted_hits.bam replicates as 1.bam 2.bam and 3.bam for the sake of short writing.

    I have a thread on biostars.org

  • #2
    The documentation suggest you need to use a differential expression analysis solution: DESeq2, Cufflinks, Limma and after that use gage. These packages handle the replicates.

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    • #3
      You would need to index all of them and get .bam.bai file for each one of them. Then collect all .bam and .bam.bai files into the same directory (i.e. tophat_all as in the demo code). Then all samples will be scanned in by function summarizeOverlaps at step 1: Count the reads mapped to each gene.
      If you read carefully, actually all details are covered in Section 3.1 Preparation: read mapping and package installation:



      Originally posted by Parharn View Post
      Hi, I have three biological replicates for my experiment. I wonder how should I merge the accepted_hits.bam out of Tophat for doing Pathview/gage analysis for "RNA-seq Pathway and Gene-set analysis workflow"? Let's name the accepted_hits.bam replicates as 1.bam 2.bam and 3.bam for the sake of short writing.

      I have a thread on biostars.org
      https://www.biostars.org/p/105503/

      Comment


      • #4
        That’s the joint workflow for the users’ convenience. But GAGE/Pathview does not really require a external differential expression analysis step, as shown in the native workflow. For details:



        Originally posted by TiborNagy View Post
        The documentation suggest you need to use a differential expression analysis solution: DESeq2, Cufflinks, Limma and after that use gage. These packages handle the replicates.

        Comment


        • #5
          Yes, later I discovered it but thanks to saying anyway

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