Unconfigured Ad

Collapse
X
 
  • Time
  • Show
Clear All
new posts
  • amosine
    Junior Member
    • Oct 2011
    • 3

    #1

    What's wrong with my ChIP seq data?

    I perform H3K9me3 ChIP experiment and built the libarary acoording illumina's ChIP seq libarary protocol. The analysis of the data is as follows:

    raw read: 46891730
    map read: 42812364
    uniq read: 40442380
    used read:13409805
    map ratio: 91.30%
    uniq read: 86.25%
    used ratio:28.6%
    region: 253

    The used raed/used ratio/region is too low. I cannot figure out the problem, could anyone help me?? Thanks!
  • kopi-o
    Senior Member
    • Feb 2008
    • 319

    #2
    More details, please. Where is your output coming from? What does "used ratio" refer to exactly?

    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, Yesterday, 07:41 AM
    0 responses
    12 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 08-03-2026, 10:13 AM
    0 responses
    27 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-31-2026, 02:55 AM
    0 responses
    39 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 07-24-2026, 12:17 PM
    0 responses
    25 views
    0 reactions
    Last Post SEQadmin2  
    Working...