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[E-TABM-722] Transcription factor binding evolution in five vertebrates

GSE22078 Gallus gallus; Canis lupus familiaris; Monodelphis domestica; Homo sapiens; Mus musculus ChIP-seq / ATAC-seq (genome binding and open chromatin) 61 samples Submitted 2010/06/02 Platform GPL10474Platform GPL10475Platform GPL10223Platform GPL9052Platform GPL9185
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · Gallus gallus; Canis lupus familiaris; Monodelphis domestica; Homo sapiens; Mus musculus · 61 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
Gallus gallus; Canis lupus familiaris; Monodelphis domestica; Homo sapiens; Mus musculus
Samples
61 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)
Five-vertebrate ChIP-seq reveals the evolutionary dynamics of trancription factor binding. The SRF files for this experiment can be found in the European Read Archive with study accession number ERP000054.
Read the full summary ↓
ArrayExpress Submission Date: Apr 07 2010 ArrayExpress Release Date: Apr 08 2010 Publication Author List: Dominic Schmidt; Michael D Wilson; Benoit Ballester; Petra C Schwalie; Gordon D Brown; Aileen Marshall; Claudia Kutter; Stephen Watt; Celia P Martinez-Jimenz; Sarah MacKay; Iannis Talianidis; Paul Flicek; Duncan T Odom Publication Title: Transcription factor binding evolution in five vertebrates Person Roles: submitter Person Last Name: Flicek Person First Name: Paul Person Email: [email protected] Person Address: Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK Person Affiliation: EBI
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 GSE22078_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 PRJNA128961 and SRA study ERP000054. Searching any of these in the dataset finder brings you back here.

Samples in this study

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