DNase FAIRE data:
Filename | Description | Feature | GEO-ID | |
1 | GSM1281689 | ES|cell culture | DNase | GSM1281689 |
2 | GSM1281690 | Primary fibroblast|cell culture | DNase | GSM1281690 |
3 | GSM1856274 | Testis|E13.5 embryos | DNase | GSM1856274 |
4 | GSM1281688 | Testis|E15.5 embryos | DNase | GSM1281688 |
5 | GSM1281691 | Whole brain|adult | DNase | GSM1281691 |
6 | GSM1281692 | Whole heart|adult | DNase | GSM1281692 |
7 | GSM1281693 | Whole kidney|adult | DNase | GSM1281693 |
8 | GSM1281694 | Whole liver|adult | DNase | GSM1281694 |
ChIP-seq data:
Filename | Description | Feature | GEO-ID | |
1 | GSM1864823 | Testis|E13.5|H3K27ac|rep1 | H3K27ac | GSM1864823 |
2 | GSM1864824 | Testis|E13.5|H3K27ac|rep2 | H3K27ac | GSM1864824 |
3 | GSM1864825 | Testis|E13.5|input|rep1 | input | GSM1864825 |
4 | GSM1864826 | Testis|E13.5|input|rep2 | input | GSM1864826 |
FASTQ files were extracted from SRA files using fastq-dump ( SRA toolkit v2.5.0) and mapped to the genome using Bowtie v0.12.8. As explained in the manuscript, only the first 20bp of each read were used for mapping, the others been adapters. SAM files were then converted into bam using samtools v0.1.14 and to bed using bamToBed v2.12.0 (bedtools). SGA conversion was carried out using bed2sga.pl (ChIP-Seq v. 1.5.3).