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  • suludana
    Member
    • May 2008
    • 61

    #1

    Chip-Seq Analysis

    Hi

    I am analyzing my first data of Chip-Seq (with the antibody H4K16Ac) using Partek.

    In the initial step of detecting peaks I obtained a lot of peaks for some of the samples (100.000 – 200.000) and of course, then, I obtained large lists of associated genes. How can I do to filter these data? The control (not IP) is not enough to reduce substantially these values.

    Can I filter by the number of reads in each peak? In this case which would be the optimal value?

    Thanks!
  • RNA-seq
    Member
    • May 2009
    • 11

    #2
    You can filter based on
    1. sample ID--only keep peaks from ChIP sample
    2. total number of reads or normalized read count--low numbers should be filtered out. The filter criteria is based on your data.
    3. binomial P-value sample Vs control--low P-value peaks should be kept.

    Comment

    • suludana
      Member
      • May 2008
      • 61

      #3
      Hi,
      thanks for your post.
      The true is that I am completly lost in this analysis.
      I have 5 samples and 2 controls (no IP samples). 3 of the samples goes with one of the controls and the other 2 goes with the second no IP sample.
      I obtained the first list of peaks, for the 7 samples. After I applied the second filter you refer (normalized read count).
      After that I want to filter using the controls, so I go to "Create a list of enriched regions". I select the sample I want to filter (for example the sample 3, with 490 peaks) and I select "Specify new criteria", there I select Sample ID vs S1 (S1 is the control of S3). Than I obtained a list of 630 peaks.
      I don't understand that. I filtered and I obtained more peaks?
      What mistake am I committing?
      Thank you very much for your help.

      Comment

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