By Assay H3K9me1 Track Settings
 
H3K9me1 tracks

Track collection: Roadmap data by assay

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 IMR-90  ENCFF004BPS ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF142GBY ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF142XMI ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF164FXG ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF237CXP ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF246VBD ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF286IXA ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF362VIJ ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF449HQP ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF479WCL ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF484EAR ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF541MXU ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF591OGJ ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF645QJT ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF678EKD ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF689LME ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF726YJJ ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF884DJG ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF951NEZ ChIP-seq H3K9me1    Data format 
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 IMR-90  ENCFF976TXA ChIP-seq H3K9me1    Data format 
    
Assembly: Human Dec. 2013 (GRCh38/hg38)

Vizhub @ Wash U built this track, and Roadmap Epigenomics Consortium is responsible for its contents.

Description

The track files were processed and hosted by ENCODE project.

This track displays the genomic maps based on the assay type. Data were generated using various assay methods across many different sample types for the Roadmap project.

Display conventions

This track displays read density data in form of wiggle plots. Number of aligned reads is counted at each base pair, and a summarized value is computed for each 20 bp interval for display. The subtracks can be displayed and configured individually. See instructions .

Methods

Experimental protocols:

Protocols are located at the bottom of each experiment page. The list of the experiments can be found here: ChIP-seq   polyA plus RNA-seq   microRNA-seq   small RNA-seq   total RNA-seq   DNase   WGBS .

Pipeline overview: follow this link for pipeline overview.

Credits

These data were generated in the following labs which are listed in alphabetical order:

Bing Ren, UCSD
Bradley Bernstein, Broad Institute
Joe Ecker Lab, Salk Institute for Biological Studies
John Stamatoyannopoulos Lab, University of Washington
Joseph Costello, UCSF