By Sample astrocyte Track Settings
 
astrocyte tracks

Track collection: Roadmap data by sample

+  Description
+  All tracks in this collection (133)

Maximum display mode:       Reset to defaults   
Select views (Help):
Coverage ▾      
Select subtracks by assay type:
  Assay Type microRNA-seq  polyA plus RNA-seq 
List subtracks: only selected/visible    all    ()
  Assay Type↓1   Track Name↓2  
dense
 Configure 		 microRNA-seq  ENCFF041QXY astrocyte microRNA-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF179LJK astrocyte microRNA-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF238IMX astrocyte microRNA-seq    Data format 
dense
 Configure 		 microRNA-seq  ENCFF629GJC astrocyte microRNA-seq    Data format 
dense
 Configure 		 polyA plus RNA-seq  ENCFF270EVC astrocyte polyA_plus_RNA-seq    Data format 
dense
 Configure 		 polyA plus RNA-seq  ENCFF349KBO astrocyte polyA_plus_RNA-seq    Data format 
dense
 Configure 		 polyA plus RNA-seq  ENCFF535DRU astrocyte polyA_plus_RNA-seq    Data format 
dense
 Configure 		 polyA plus RNA-seq  ENCFF828VND astrocyte 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