Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • RadAniba
    Member
    • May 2011
    • 11

    Chipseq data analysis

    Hi,

    I am new to Chip-Seq data analysis and I am interested in doing this kind of analysis given a genomic position range

    Find enrichment in H3K4me(1 and 3)
    H3K9,14Ac
    P300 occupancy
    DNAse activity sites
    TFBS
    I would like to know from where to start, which data I have to get and from where ? I've seen a lot of data in ftp://hgdownload.cse.ucsc.edu/goldenPath/hg18/database/ but the read me file is not informative for a newbie

    My second question is what are the best open source tools to use for these kind of analysis and what are the steps to follow (all the tutorials part are dealing with explaining what is chipseq and not how to analyze the data ? )

    Thank you for your help
  • howi
    Junior Member
    • Apr 2011
    • 6

    #2
    Do you want to analyse publicly available data or your own data? What kind of formats do you have?

    Comment

    • RadAniba
      Member
      • May 2011
      • 11

      #3
      Yes I would like to analyze public available data.
      I found that Braod Institute provide for a given mark (H3K4me1) for example, peaks file compressed, what kind of information do we find in these files ? (i will try to open one to see as well) Do we find the region of a given peak (from xxx to xxx) ?

      Comment

      • RadAniba
        Member
        • May 2011
        • 11

        #4
        It would be nice if someone explain the significance of all files provided by Broad

        bam, bam.bai, bigWig etc ...

        Comment

        • RadAniba
          Member
          • May 2011
          • 11

          #5
          a peak file looks like this

          chr22 16847536 16863983 . 294 . 1.877598 12.7 -1
          chr22 16850062 16850215 . 1000 . 13.626036 6.0 -1
          chr22 16850752 16850925 . 1000 . 19.582503 15.4 -1
          chr22 17306120 17307007 . 482 . 4.994549 6.9 -1
          chr22 17394530 17395284 . 452 . 4.493068 3.2 -1
          what are the columns refers to ? I can undertand the three one but after ?

          Comment

          • howi
            Junior Member
            • Apr 2011
            • 6

            #6
            Formats: http://genome.ucsc.edu/FAQ/FAQformat.html
            BAM contains mapped reads (http://samtools.sourceforge.net/).
            BigWig contains the coverage made from that reads.
            Peak files contain enriched regions estimated by a peak calling program (e.g. http://liulab.dfci.harvard.edu/MACS/index.html). Meaning of the columns: http://genome.ucsc.edu//cgi-bin/hgTa...e+table+schema

            if u want to work with such data u need a access to a unix system and/or use http://main.g2.bx.psu.edu/.

            good luck :>
            Last edited by howi; 06-17-2011, 10:33 AM.

            Comment

            • RadAniba
              Member
              • May 2011
              • 11

              #7
              Thank you howi for these useful information

              Comment

              Latest Articles

              Collapse

              • SEQadmin2
                Cancer Drug Resistance: The Lingering Barrier to Rising Survival
                by SEQadmin2



                Cancer survival rates have significantly increased in the last few decades in the United States, reaching a combined 70% 5-year survival rate by 2021. Behind this number, there are years of research to find new therapies, drug targets, and early detection methods. But there is one core challenge that keeps slowing down these advances, and it’s about drug resistance.

                There is no single reason why many patients don’t respond to treatment as expected. Cancer is...
                Yesterday, 05:17 AM
              • GATTACAT
                Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
                by GATTACAT
                Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
                07-01-2026, 11:43 AM
              • SEQadmin2
                Nine Things a Sample Prep Scientist Thinks About Before Sequencing
                by SEQadmin2


                I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

                Here are nine questions we think about, in roughly the order they matter, before...
                06-18-2026, 07:11 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, Yesterday, 10:08 AM
              0 responses
              6 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-07-2026, 11:05 AM
              0 responses
              8 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-02-2026, 11:08 AM
              0 responses
              31 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 06-30-2026, 05:37 AM
              0 responses
              29 views
              0 reactions
              Last Post SEQadmin2  
              Working...