Unconfigured Ad

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

    #1

    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
                Beyond CRISPR/Cas9: Understand, Choose, and Use the Right Genome Editing Tool
                by SEQadmin2



                CRISPR/Cas9 sparked the gene editing revolution for both research and therapeutics.1 But this system still showed severe issues that limited its applications. The most prominent were the heavy reliance on PAM sequences, delivery limitations, double-stranded breaks that prompt unintended edits and cell death, and editing inefficiency (both in targeting and in knock-in reliability).

                Despite this, “CRISPR helped turn genome editing from a specialized technique into
                ...
                07-31-2026, 11:01 AM
              • SEQadmin2
                Proteomic Platforms: How to Choose the Right Analytical Strategy to Improve Detection and Clinical Applications
                by SEQadmin2


                Proteomics platforms are evolving rapidly, with advances in mass spectrometry and affinity-based approaches expanding what researchers can detect and at what scale. As the field moves toward deeper proteome coverage and clinical applications, scientists face an increasingly complex landscape of tools. This article will explore how researchers are navigating these choices to find the right platform for their work.

                The systematic characterization of the human proteome has
                ...
                07-20-2026, 11:48 AM
              • SEQadmin2
                Advanced Sequencing Platforms Tackle Neuroscience’s Toughest Genomics Problems
                by SEQadmin2



                Genomics studies in neuroscience face a special challenge due to the brain’s complexity and scarcity of samples. Mapping changes in cell type and state using conventional next-generation sequencing methods remains challenging. Advances in technologies like single-cell sequencing, spatial transcriptomics, and long-read sequencing have opened the door to deeper studies of the brain and diseases like Alzheimer’s, amyotrophic lateral sclerosis (ALS), and schizophrenia.
                ...
                07-09-2026, 11:10 AM

              ad_right_rmr

              Collapse

              News

              Collapse

              Topics Statistics Last Post
              Started by SEQadmin2, 07-31-2026, 02:55 AM
              0 responses
              17 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-24-2026, 12:17 PM
              0 responses
              15 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-23-2026, 11:41 AM
              0 responses
              13 views
              0 reactions
              Last Post SEQadmin2  
              Started by SEQadmin2, 07-20-2026, 11:10 AM
              0 responses
              25 views
              0 reactions
              Last Post SEQadmin2  
              Working...