By Sample mammary_stem_cell Track Settings
 
mammary_stem_cell tracks

Track collection: Roadmap data by sample

+  Description
+  All tracks in this collection (133)

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  Assay Type ChIP-seq  microRNA-seq  polyA plus RNA-seq 
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dense
 Configure 		 ChIP-seq  ENCFF155JOU mammary_stem_cell ChIP-seq    Data format 
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 ChIP-seq  ENCFF444LMB mammary_stem_cell ChIP-seq    Data format 
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 Configure 		 ChIP-seq  ENCFF476QWR mammary_stem_cell ChIP-seq    Data format 
dense
 Configure 		 ChIP-seq  ENCFF501AJI mammary_stem_cell ChIP-seq    Data format 
dense
 ChIP-seq  ENCFF594CTL mammary_stem_cell ChIP-seq    Data format 
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 Configure 		 ChIP-seq  ENCFF797DAJ mammary_stem_cell ChIP-seq    Data format 
dense
 ChIP-seq  ENCFF849ENC mammary_stem_cell ChIP-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF141WXA mammary_stem_cell microRNA-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF209QZE mammary_stem_cell microRNA-seq    Data format 
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 Configure 		 microRNA-seq  ENCFF476WKS mammary_stem_cell microRNA-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF742ZUR mammary_stem_cell microRNA-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF779WTD mammary_stem_cell microRNA-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF797YFO mammary_stem_cell microRNA-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF907MOZ mammary_stem_cell microRNA-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF991VIF mammary_stem_cell microRNA-seq    Data format 
dense
 Configure 		 polyA plus RNA-seq  ENCFF439JSX mammary_stem_cell polyA_plus_RNA-seq    Data format 
dense
 Configure 		 polyA plus RNA-seq  ENCFF709TOL mammary_stem_cell polyA_plus_RNA-seq    Data format 
dense
 Configure 		 polyA plus RNA-seq  ENCFF867KUO mammary_stem_cell polyA_plus_RNA-seq    Data format 
dense
 Configure 		 polyA plus RNA-seq  ENCFF903EHE mammary_stem_cell polyA_plus_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 sample type. Data were generated using various assay methods 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