Uncon. By Assay Tracks
 
Roadmap Unconsolidated Analysis hub organized by assay tracks

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Digital Genomic Footprinting  Digital Genomic Footprinting tracks from Roadmap  
DNase hypersensitivity  DNase hypersensitivity tracks from Roadmap  
H2A.Z  H2A.Z tracks from Roadmap  
H2AK5ac  H2AK5ac tracks from Roadmap  
H2AK9ac  H2AK9ac tracks from Roadmap  
H2BK120ac  H2BK120ac tracks from Roadmap  
H2BK12ac  H2BK12ac tracks from Roadmap  
H2BK15ac  H2BK15ac tracks from Roadmap  
H2BK20ac  H2BK20ac tracks from Roadmap  
H2BK5ac  H2BK5ac tracks from Roadmap  
H3K14ac  H3K14ac tracks from Roadmap  
H3K18ac  H3K18ac tracks from Roadmap  
H3K23ac  H3K23ac tracks from Roadmap  
H3K23me2  H3K23me2 tracks from Roadmap  
H3K27ac  H3K27ac tracks from Roadmap  
H3K27me3  H3K27me3 tracks from Roadmap  
H3K36me3  H3K36me3 tracks from Roadmap  
H3K4ac  H3K4ac tracks from Roadmap  
H3K4me1  H3K4me1 tracks from Roadmap  
H3K4me2  H3K4me2 tracks from Roadmap  
H3K4me3  H3K4me3 tracks from Roadmap  
H3K56ac  H3K56ac tracks from Roadmap  
H3K79me1  H3K79me1 tracks from Roadmap  
H3K79me2  H3K79me2 tracks from Roadmap  
H3K9ac  H3K9ac tracks from Roadmap  
H3K9me1  H3K9me1 tracks from Roadmap  
H3K9me3  H3K9me3 tracks from Roadmap  
H3T11ph  H3T11ph tracks from Roadmap  
H4K12ac  H4K12ac tracks from Roadmap  
H4K20me1  H4K20me1 tracks from Roadmap  
H4K5ac  H4K5ac tracks from Roadmap  
H4K8ac  H4K8ac tracks from Roadmap  
H4K91ac  H4K91ac tracks from Roadmap  
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 from Roadmap Epigenomics Integrative Analysis Hub, and are organized by assay types.
Unconsolidated data is basically all the ChIP-seq and DNase Release 9 data at the EDACC as it was except filtered for 36 bp read length mappability and processed to create peak calls and signal tracks.

Chip-seq is used primarily to determine how transcription factors and other chromatin-associated proteins influence phenotype-affecting mechanisms. Determining how proteins interact with DNA to regulate gene expression is essential for fully understanding many biological processes and disease states. DNA methylation of human DNA mostly happens on cytosine bases of CpG dinucleotides. The methylated DNA usually prevent accessibility of regulatory proteins thus hampering transcription, while unmethylated DNA is usually associated with 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. BS-seq (whole genome Bisulfite sequencing) applies routine sequencing methods on bisulfite-treated genomic DNA to determine methylation status at CpG dinucleotides. RRBS (reduced representation bisulfite sequencing) is analogous to the reduced representation shotgun sequencing used for single nucleotide polymorphism (SNP) discovery. The method is based on size selection of restriction fragments to generate a 'reduced representation' of the genome of a strain, tissue or cell type. Then the 'reduced representation' was treated by bisulfite and sequencing.

Display conventions

Each track can be turned on/off individually. All tracks displays read density data in form of wiggle plots. For Histone/DNase, there also enrichment signal tracks using MACS based on pvalue or fold Change.

Methods

Experimental protocols: follow this link for experimental protocols.

Data processing: EDACC carried out data processing and quality assessment. Details are fully explained here

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

Please follow the link for Roadmap Epigenomics data access policy

Credits

These data were generated from Roadmap Epigenomics Project.

Useful links

Contacts

Please email Ting Wang for questions.