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An atlas of in vivo transcribed enhancers in human primary cells

GSE40668 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 21 samples Submitted 2014/02/28 Platform GPL9052
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 21 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
21 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)
Enhancers are powerful regulatory regions, important for development and the maintenance of differentiated cells and tissues. Here, we generate global maps for two enhancer-associated histone marks, H3K4me1 and H3K27ac for a number of major human blood cell types. This data was generated to show that capped RNAs transcribed bidirectionally can identify known and novel enhancers in vivo.
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 GSE40668_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 PRJNA174535 and SRA study SRP015454. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 21 more — browse all 21 samples with per-sample file links →

Datasets on a similar topic

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