Sample Summary Fetal Muscle Back Summary Track Settings
 
Roadmap Epigenome Fetal Muscle Back Summary for 2 assay type(s)

Track collection: Sample Summary

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     FMB DNase 09 44  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24409 Library DS20244 EA Release 7    Data format 
     FMB DNase 10 89  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24510 Library DNase.DS20789 EA Release 9    Data format 
     FMB DNase 11 68  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24111 Library DS18468 EA Release 6    Data format 
     FMB DNase 18 17  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24218 Library DS19117 EA Release 6    Data format 
     FMB DNase 43 42  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24143 Library DS18842 EA Release 6    Data format 
     FMB DNase 44 83  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24244 Library DS19283 EA Release 6    Data format 
     FMB DNase 64 50  Fetal Muscle Back DNase Hypersensitivity Raw Signal from REMC/UW (HOTSPOT_SCORE=0.5135 Pcnt=85)    Data format 
     FMB DNase 72 84  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24272 Library DS19384 EA Release 6    Data format 
     FMB DNase 78 77  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24078 Library DS18377 EA Release 6    Data format 
     FMB DNase 79 41  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24279 Library DS19441 EA Release 7    Data format 
     FMB DNase 89 54  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24089 Library DS18454 EA Release 7    Data format 
     FMB DNase 95 48  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24595 Library DNase.DS21048 EA Release 9    Data format 
     FMB DNase 97 48  UW Fetal Muscle Back DNase Hypersensitivity Donor H-24297 Library DS19648 EA Release 7    Data format 
     FMB DNase DS17767  Fetal Muscle Back DNase DNase Hypersensitivity Raw Signal from REMC/UW (HOTSPOT_SCORE=0.4773 Pcnt=68)    Data format 
     FMB DNase DS18083  Fetal Muscle Back DNase DNase Hypersensitivity Raw Signal from REMC/UW (HOTSPOT_SCORE=0.4711 Pcnt=64)    Data format 
     FMB mRNA 05 13  UW Fetal Muscle Back mRNA-Seq Donor H-24005 Library lib-RNA.RS18813 EA Release 9    Data format 
     FMB mRNA 11 33  UW Fetal Muscle Back mRNA-Seq Donor H-24111 Library lib-RNA.RS19033 EA Release 9    Data format 
     FMB mRNA 18 54  UW Fetal Muscle Back mRNA-Seq Donor H-24218 Library lib-RNA.RS19854 EA Release 9    Data format 
     FMB mRNA 43 59  UW Fetal Muscle Back mRNA-Seq Donor H-24143 Library lib-RNA.RS19459 EA Release 9    Data format 
     FMB mRNA 44 04  UW Fetal Muscle Back mRNA-Seq Donor H-24244 Library lib-RNA.RS20104 EA Release 9    Data format 
     FMB mRNA 64 38  UW Fetal Muscle Back mRNA-Seq Donor H-23964 Library lib-RNA.RS18238 EA Release 9    Data format 
     FMB mRNA 72 05  UW Fetal Muscle Back mRNA-Seq Donor H-24272 Library lib-RNA.RS20105 EA Release 9    Data format 
     FMB mRNA 78 32  UW Fetal Muscle Back mRNA-Seq Donor H-24078 Library lib-RNA.RS19032 EA Release 9    Data format 
     FMB mRNA 79 06  UW Fetal Muscle Back mRNA-Seq Donor H-24279 Library lib-RNA.RS20106 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