By Assay total_RNA-seq Track Settings
 
total_RNA-seq tracks

Track collection: Roadmap data by assay

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 H1  ENCFF174UWF total_RNA-seq    Data format 
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 H1  ENCFF257QQB total_RNA-seq    Data format 
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 H1  ENCFF304EHG total_RNA-seq    Data format 
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 H1  ENCFF526FCK total_RNA-seq    Data format 
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 H1  ENCFF716EFJ total_RNA-seq    Data format 
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 IMR-90  ENCFF118SFH total_RNA-seq    Data format 
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 IMR-90  ENCFF153MWV total_RNA-seq    Data format 
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 IMR-90  ENCFF159ZJC total_RNA-seq    Data format 
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 IMR-90  ENCFF188MTB total_RNA-seq    Data format 
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 IMR-90  ENCFF393HJI total_RNA-seq    Data format 
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 IMR-90  ENCFF433DSZ total_RNA-seq    Data format 
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 IMR-90  ENCFF536EYJ total_RNA-seq    Data format 
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 IMR-90  ENCFF899MIR total_RNA-seq    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