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UCSF-UBC Human Reference Epigenome Mapping Project

GSE16368 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 529 samples Submitted 2009/08/03 Platform GPL10999Platform GPL9115Platform GPL11154
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 529 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
529 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
The epigenome is the dynamic interface between our changing environment and the static genome, and understanding it is a goal of immense importance to human health. We will map reference cell epigenomes of the brain, breast, blood and approved embryonic stem cells, inclusive of males and females and different racial groups. This cooperative work will transform our understanding of the short and long-lasting consequences of environment impact on human health and disease.
Read the full summary ↓
We are working cooperatively with other Mapping Centers and the Data Coordination Center (EDACC) to comprehensively map epigenomes of select human cells with significant relevance to complex human disease. Our group, consisting of scientists at UCSF, UC Davis, UCSC and the British Columbia Genome Sciences Centre will focus on cells relevant to human health and complex disease including cells from the blood, brain, breast and U.S. Government-approved lines of human embryonic stem cells. We will incorporate high quality, homogeneous cells from males and females, and two predominant racial groups, and biological replicates of each cell type. Production of comprehensive maps will include 6 histone modifications selected for their opposing roles in regulating active and inactive chromatin, DNA methylation and miRNA and gene expression. This epigenetic data, along with genetic and expression data will be integrated using advanced informatics to address fundamental roles of epigenetics in differentiation, maintenance of cell-type identity and gene expression. Our cell and data production pipeline will incorporate verification and data validation with independent methods, and will operate under a model motivated by increased data production and decrease cost. We summarize the analysis capacity of our instruments and our explicit strategy for data sharing of our proposed REMC-generated resources including biological specimens, protocols, data, software tools and intellectual resources. We envision that our group in conjunction with the other REMC teams, the EDACC, ENCODE, future EHHD (Epigenetics of Human Health and Disease) centers and the NIH Roadmap program will develop methods, tools and reference epigenome maps for the research community that will make the promise of epigenetics in understand and treating human complex disease a reality. Our reference epigenomes will enable new disciplines including human population epigenetics, comparative epigenomics, neuroepigenetics, and therapeutic epigenetics for tissue regeneration and reversal of disease. Contributor: BCCA Genome Sciences Centre **************** For data usage terms and conditions, please refer to: http://www.drugabuse.gov/funding/funding-opportunities/nih-common-fund/epigenomics-data-access-policies ****************
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE16368_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA34535 and SRA study SRP046944. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 529 more — browse all 529 samples with per-sample file links →

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