Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • Newsbot!
    Banned
    • Feb 2008
    • 1331

    ChIP-Seq: hmChIP: a database and web server for exploring publicly available human an

    Syndicated from PubMed RSS Feeds

    hmChIP: a database and web server for exploring publicly available human and mouse ChIP-seq and ChIP-chip data.

    Bioinformatics. 2011 Mar 30;

    Authors: Chen L, Wu G, Ji H

    SUMMARY: hmChIP is a database of genome-wide chromatin immunoprecipitation (ChIP) data in human and mouse. Currently, the database contains 2016 samples from 492 ChIP-seq and ChIP-chip experiments, representing a total of 170 proteins and 11,069,914 protein-DNA interactions. A web server provides interface for database query. Protein-DNA binding intensities can be retrieved from individual samples for user-provided genomic regions. The retrieved intensities can be used to cluster samples and genomic regions to facilitate exploration of combinatorial patterns, cell type dependencies, and cross-sample variability of protein-DNA interactions. AVAILABILITY: http://jilab.biostat.jhsph.edu/datab...-bin/hmChIP.pl CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

    PMID: 21450710 [PubMed - as supplied by publisher]



    More...
  • yaten2020
    Junior Member
    • Aug 2011
    • 7

    #2
    How to calculate log2 ratios from chip-seq data : (ChIP/INPUT)

    Hi
    Could you please elaborate more on how do we get log2 ratio of ChIP/INPUT sample. I have created tag-density values for each base in the genome normalized to total number of reads in the sample using HOMER .I have 2 Chip samples and 2 IgG controls and would like to get log ratios of ChIP/INPUT and load it in to UCSC browser. I am little confused on steps as you have described on you hmChIP web page

    Thanks
    YK

    Comment

    Latest Articles

    Collapse

    • 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, 11:08 AM
    0 responses
    6 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-30-2026, 05:37 AM
    0 responses
    11 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-26-2026, 11:10 AM
    0 responses
    19 views
    0 reactions
    Last Post SEQadmin2  
    Started by SEQadmin2, 06-17-2026, 06:09 AM
    0 responses
    53 views
    0 reactions
    Last Post SEQadmin2  
    Working...