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  • paolo.kunder
    Member
    • Aug 2011
    • 93

    Chip-Seq and Gene expression data

    Dear All,

    I am processing Chip-Seq data for 4 histone modifications in 3 samples.
    I would like to find a way to correlate histone modifications to gene expression data,
    any hint on how to do it?

    thanks,
    p
  • markrobinsonca
    Junior Member
    • Mar 2010
    • 7

    #2
    Depending on what you mean by "correlate" (and if you are an R user), we have a R/Bioconductor package called Repitools that can do some of this.

    See (for general info):
    The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists.


    The user's guide contains some examples:
    The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists.


    For example, binPlots() or clusterPlots (or their output) can be useful for various exploratory tasks.

    Best regards,
    Mark

    Comment

    • paolo.kunder
      Member
      • Aug 2011
      • 93

      #3
      Hi,
      I mean that I have some list of genes found to be differentially expressed between two conditions with microarray analysis.

      I have also some list of genes whose histone modifications ( activating and repressing transcription) vary betweend the two conditions.

      I would like to find a way to check wheter they correlate, for example,

      gene condition A condition B
      x 10 8
      y 98 200

      histone mod gene condition A condition B

      H3K4me(act) x 20 reads 12 reads
      H3K27me3(rep) x 34 reads 50 reads

      In this case gene x is found to be turned off with microarray data and also ChipSeq data confirm that these genes is subjected to histone repression ( decrase of H3K4me3 and increase of H3K27me3)


      any hint?

      thanks,
      p

      Comment

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