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  • Please help..Cuffmerge question (Galaxy)

    Dear all,

    I have a question regarding running Cuffmerge on Galaxy. Any help will be appreciated!

    My goal is to analyze for differential gene expression in a bacterium, R. centenum, in 5 timepoints (3 replicates for each timepoint). R. centenum has about 4000 genes. My workflow is: Bowtie- Cufflink - Cuffmerge - Cuffdiff. I used this workflow for my last data analysis and it worked great.

    Now I am tried to do the same for my new set of data. After Cufflink, everything seems normal: cufflinks files have around 4000 lines, FPKMs good values and FPKM status are mostly OK. But when I tried to Cuffmerge two Cufflinks files together, the Cuffmerged file has only 48 lines. When I tried to Cuffmerge other Cufflinks files, no matter which cufflinks file for input (I tried around 8 different cufflinks files), the output Cuffmerge file are exactly the same with only 48 lines (which supposed to be 4000 lines).

    However if I use Cuffcompare instead of Cuffmerge, the output file has 4000 lines.

    I understand that Cuffmerge runs a Reference Annotation Based Transcript assembler (RABT) but Cuffcompare does not. So my question is, does this mean my data set is bad or my reference annotation is bad?

    And also, should I use Tophat instead of Bowtie? Would it help?


    The parameter I used for Cufflinks are:

    Max Intron Length 1000
    Min Isoform Fraction 0.1
    Pre MRNA Fraction 0.15
    Perform quartile normalization No
    Use Reference Annotation Use reference annotation
    Reference Annotation 28: R.centenum_annotation_su.gtf
    Perform Bias Correction No
    Set Parameters for Paired-end Reads? (not recommended) No
    Global model (for use in Trackster) No dataset
    How long will your job need 1 hr


    The parameters I used for Cuffmerge are:

    GTF file produced by Cufflinks 76: 26 1 CENS Cufflinks on data 73 and data 28: assembled transcripts
    GTF file produced by Cufflinks 103: 26 1 D2 Cufflinks on data 100 and data 28: assembled transcripts
    Use Reference Annotation Yes
    Reference Annotation 28: R.centenum_annotation_su.gtf
    Use Sequence Data Yes
    Choose the source for the reference list history
    Using reference file 27: R. centenum genome sequence


    Thank you so much,

    Qian

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