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  • songyj
    Member
    • Sep 2011
    • 15

    #1

    Cuffdiff output file

    hi,

    When I using Cufflinks-Cuffcompare-Cuffdiff to analysis my RNA-seq data, I found a question.

    In cuffdiff output file, gene_exp.diff, usually "A gene name" have more than one different locus even in different chr.

    It make me confused, it isn't a gene have a record in gene_exp.diff ?

    like gene U6, in gene_exp.diff, they have

    Code:
    XLOC_000130     XLOC_000130     U6      chr1:23488591-23489575  q1      q2      NOTEST  1.17921 0.489751        -1.2677 1.41199 0.157954        1       no
    XLOC_007133     XLOC_007133     U6      chr10:29046365-29050865 q1      q2      NOTEST  0.715357        0.493826        -0.534662       0.598727        0.549355     1       no
    XLOC_011686     XLOC_011686     U6      chr12:51556268-51557200 q1      q2      NOTEST  1.89382 0.749147        -1.33798        1.87499 0.0607936       1   no
    XLOC_014629     XLOC_014629     U6      chr13:73454957-73456810 q1      q2      NOTEST  0.946175        0.166244        -2.50881        2.26666 0.0234107   no
    XLOC_057577     XLOC_057577     U6      chr9:556306-562036      q1      q2      NOTEST  2.21376 1.26377 -0.808767       1.98748 0.0468697       1       no
    XLOC_057725     XLOC_057725     U6      chr9:97269425-97271417  q1      q2      NOTEST  1.39023 0.61348 -1.18024        2.1936  0.0282639       1       no
    XLOC_060262     XLOC_060262     U6      chrX:123007615-123008869        q1      q2      NOTEST  1.20754 0.364642        -1.72752        1.98409 0.0472457   no
    thanks,
    song
  • dpryan
    Devon Ryan
    • Jul 2011
    • 3478

    #2
    You'll find there are many copies of a lot of the snRNAs (and tRNAs and others) throughout the genome.

    Comment

    • songyj
      Member
      • Sep 2011
      • 15

      #3
      thanks

      Originally posted by dpryan View Post
      You'll find there are many copies of a lot of the snRNAs (and tRNAs and others) throughout the genome.
      I try to used "Test status" to filter data, only choose "test status" as "OK"

      Thanks again!

      Comment

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