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  • Bioinfo
    Member
    • Jul 2010
    • 15

    #1

    ChIP Seq data analysis

    Hi all
    I am just wondering that if anyone knows any statistical analysis tools for comparing output from different ChIP Seq data analysis tools. It could also be useful any recommendations for comparison.
    Any suggestions would be gratefully appreciated
    Thanks in advance
  • hwu
    Junior Member
    • Nov 2010
    • 4

    #2
    What do you want to compare? Most software output a list of peaks. YOu want to know which peak lists give better ranks? Without gold standard it'll be difficult.

    Comment

    • Karl Kornacker
      Junior Member
      • Jul 2010
      • 2

      #3
      I have developed R scripts for multiway analysis of multifactor ChIP-seq coverage profiles and invite collaboration to incorporate the scripts into a BioConductor package.
      Interested?

      Comment

      • Bioinfo
        Member
        • Jul 2010
        • 15

        #4
        Originally posted by Karl Kornacker View Post
        I have developed R scripts for multiway analysis of multifactor ChIP-seq coverage profiles and invite collaboration to incorporate the scripts into a BioConductor package.
        Interested?
        Hi Karl,
        Thanks for your help... I would be really grateful if you could share me the scripts.
        Kind regards

        Comment

        • Karl Kornacker
          Junior Member
          • Jul 2010
          • 2

          #5
          I am preparing a publication on previously unrecognized biologically significant enrichment patterns found by application of a novel multiway data analysis method to a superset of publicly available ChIP-seq datasets. I am inviting pre-publication collaboration, with possible co-authorship.

          Comment

          • pmad
            Bioinformatics Engineer
            • Jun 2010
            • 14

            #6
            Bailey T, Krajewski P, Ladunga I, Lefebvre C, Li Q, et al. (2013) Practical Guidelines for the Comprehensive Analysis of ChIP-seq Data. PLoS Comput Biol 9(11): e1003326. doi:10.1371/journal.pcbi.1003326

            http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003326
            Pedro Madrigal

            Comment

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