By Sample Gastric Track Settings
 
Gastric tracks for 10 assay type(s)

Track collection: Roadmap data by sample

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  Assay Type H3K36me3  H3K4me3  H3K27ac  H3K4me1  H3K9me3  Bisulfite-Seq  ChromatinAccessibility  H3K27me3  Input  mRNA-Seq Assay Type  
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 Bisulfite-Seq  STL003  UCSD Gastric Bisulfite-Seq Donor STL003 EA Release 9    Data format 
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 ChromatinAccessibility  STL001  UW Gastric DNase Hypersensitivity Donor STL001 Library DNase.DS20260 EA Release 9    Data format 
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 ChromatinAccessibility  STL003  UW Gastric DNase Hypersensitivity Donor STL003 Library DNase.DS20748 EA Release 9    Data format 
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 H3K27ac  STL001  UCSD Gastric Histone H3K27ac Donor STL001 Library CY58 EA Release 9    Data format 
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 H3K27ac  STL002  UCSD Gastric Histone H3K27ac Donor STL002 Library AY338 EA Release 9    Data format 
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 H3K27ac  STL003  UCSD Gastric Histone H3K27ac Donor STL003 Library AK339 EA Release 8    Data format 
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 H3K27me3  STL003  UCSD Gastric Histone H3K27me3 Donor STL003 Library AK340 EA Release 8    Data format 
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 H3K36me3  STL001  UCSD Gastric Histone H3K36me3 Donor STL001 Library CY80 EA Release 9    Data format 
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 H3K36me3  STL003  UCSD Gastric Histone H3K36me3 Donor STL003 Library AY185 EA Release 8    Data format 
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 H3K4me1  STL001  UCSD Gastric Histone H3K4me1 Donor STL001 Library CY82 EA Release 9    Data format 
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 H3K4me1  STL003  UCSD Gastric Histone H3K4me1 Donor STL003 Library AY187 EA Release 8    Data format 
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 H3K4me3  STL003  UCSD Gastric Histone H3K4me3 Donor STL003 Library AY186 EA Release 8    Data format 
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 H3K9me3  STL001  UCSD Gastric Histone H3K9me3 Donor STL001 Library CY83 EA Release 9    Data format 
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 H3K9me3  STL003  UCSD Gastric Histone H3K9me3 Donor STL003 Library AY188 EA Release 8    Data format 
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 Input  STL001  UCSD Gastric ChIP-Seq Input Donor STL001 Library CY47 EA Release 9    Data format 
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 Input  STL002  UCSD Gastric ChIP-Seq Input Donor STL002 Library AY331 EA Release 9    Data format 
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 Input  STL003  UCSD Gastric ChIP-Seq Input Donor STL003 Library AK341 EA Release 9    Data format 
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 mRNA-Seq  STL001  UCSD Gastric mRNA-Seq Donor STL001 Library polyA-RNA-seq_STL001GA_r1a EA Release 9    Data format 
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 mRNA-Seq  STL002  UCSD Gastric mRNA-Seq Donor STL002 Library polyA-RNA-seq_STL002GA_r1a EA Release 9    Data format 
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 mRNA-Seq  STL003  UCSD Gastric mRNA-Seq Donor STL003 Library polyA-RNA-seq_STL003GA_r1a EA Release 9    Data format 
    
Assembly: Human Feb. 2009 (GRCh37/hg19)

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

Description

These tracks are genome-wide DNA methylation maps generated by Roadmap Epigenomics Project. Each track is collection of DNA methylation experiment data on one sample type.

DNA methylation of human DNA mostly happens on cytosine bases of CpG dinucleotides. The methylated DNA usually prevent accessibility of regulatory proteins and hampers transcription, while unmethylated DNA is usually indicative of open chromatin. The MeDIP-Seq and MRE-Seq experiments are usually performed on same sample to identify genome-wide DNA methylation pattern. MeDIP-Seq (methylated DNA immunoprecipitation and sequencing) is a ChIP-based approach utilizing antibody against methylated cytosine. This method enriches methylated DNA and high read count indicates high likelihood of underlying region is methylated. The MRE-Seq (methylation restriction enzyme sequencing) uses methylation-sensitive restriction enzymes to digest DNA, and only cut at unmethylated restriction sites. The cut restriction sites will be detected by sequencing where reads aligned to a restriction site on reference genome means the restriction site is unmethylated.

The MethylC-Seq (MethylC sequencing) uses bisulfite to convert methylated cytosines to thymines before sequencing. The percentage of reads with a T versus a C indicates the percentage methylation at the cytosine. Details can be found in this paper Lister R, et al., Nature. 2009 Nov 19;462(7271):315-22. .

RRBS (Reduced-Representation-Bisulfite-Sequencing) is similar to MethylC-seq except RRBS uses restriction enzyme to fragment the genome into fragments suitably-sized for sequencing. While RRBS produces percent methylation similar to MethylC-seq, it is limited to cytosines that are within restriction fragments of a suitable size and tend to measure CpG dense regions only. Details can be found in this paper: Meissener, A. et al., Nucleic Acids Res. 2005; 33(18): 5868-5877. .

Display conventions

Each track can be turned on/off individually. Inside each track, sub-tracks are displayed in same vertical space and are overlayed with transparent colors for contrast. All tracks 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. Sub-tracks sharing same space use same scale.

Methods

Experimental protocols: follow this link for experimental protocols.

Data processing: EDACC carried out data processing and quality assessment. Details are fully explained here . In brief, sequencing reads were aligned with 'Pash' program to derive read density data. The read density data is prepared into 'wiggle' format files with fixed step length of 20 bp. Data in wiggle and other formats have been deposited in NCBI Gene Expression Omnibus database for public access.

Quality control: the HotSpot was one of the methods used to assess quality of MeDIP-Seq experiments. The long track name includes a "Hotspot_Score" field indicates the percentage of sequencing reads found inside hotspot regions. The "Pcnt" field shows the percentile of current experiment score in all MeDIP-Seq experiments. This value is subject to change in next Data Release. The most comprehensive and up-to-date description on QC Metrics used by the consortium can be found here .

Release Notes

The data is combination of Release II, III, IV, V, VI, VII, VIII and IX which were mapped to human reference genome version hg19. The data is production of Roadmap Epigenomics Project.

Please follow the link for Roadmap Epigenomics data access policy

Credits

These data were generated in labs from three institutions: UCSF, UBC, UCSD as part of Roadmap Epigenomics Project.

Useful links