DNase FAIRE data:
Filename | Description | Feature | GEO-ID | |
1 | YPD.sga | YPD all Nucleosomes | Nucleosome | GSM351492 |
2 | YPD_CL.sga | YPD Nucleosomes crosslinked | Nucleosome | GSM351492 |
3 | YPD_CL_R2.sga | YPD Nucleosomes crosslinked r2 | Nucleosome | GSM351492 |
4 | YPD_CL_R3.sga | YPD Nucleosomes crosslinked r3 | Nucleosome | GSM351492 |
5 | YPD_NOCL.sga | YPD Nucleosomes non-crosslinked | Nucleosome | GSM351492 |
6 | YPD_NOCL_R1.sga | YPD Nucleosomes non-crosslinked r1 | Nucleosome | GSM351492 |
7 | YPD_NOCL_R2.sga | YPD Nucleosomes non-crosslinked r2 | Nucleosome | GSM351492 |
8 | YPD_NOCL_R3.sga | YPD Nucleosomes non-crosslinked r3 | Nucleosome | GSM351492 |
9 | YPD_NOCL_R4.sga | YPD Nucleosomes non-crosslinked r4 | Nucleosome | GSM351492 |
10 | YPEtOH.sga | YPEtOH all Nucleosomes | Nucleosome | GSM351494 |
11 | YPEtOH_CL.sga | YPEtOH Nucleosomes crosslinked | Nucleosome | GSM351494 |
12 | YPEtOH_CL_R1.sga | YPEtOH Nucleosomes crosslinked r1 | Nucleosome | GSM351494 |
13 | YPEtOH_CL_R2.sga | YPEtOH Nucleosomes crosslinked r2 | Nucleosome | GSM351494 |
14 | YPEtOH_NOCL.sga | YPEtOH Nucleosomes non-crosslinked | Nucleosome | GSM351494 |
15 | YPEtOH_NOCL_R1.sga | YPEtOH Nucleosomes non-crosslinked r1 | Nucleosome | GSM351494 |
16 | YPEtOH_NOCL_R2.sga | YPEtOH Nucleosomes non-crosslinked r2 | Nucleosome | GSM351494 |
17 | YPGal.sga | YPGal all Nucleosomes | Nucleosome | GSM351493 |
18 | YPGal_CL_R1.sga | YPGal Nucleosomes crosslinked | Nucleosome | GSM351493 |
19 | YPGal_NOCL.sga | YPGal Nucleosomes non-crosslinked | Nucleosome | GSM351493 |
20 | YPGal_NOCL_R1.sga | YPGal Nucleosomes non-crosslinked r1 | Nucleosome | GSM351493 |
21 | YPGal_NOCL_R2.sga | YPGal Nucleosomes non-crosslinked r2 | Nucleosome | GSM351493 |
22 | inVitroNucleosomes.sga | In vitro nucleosomes | Nucleosome | GSM351491 |
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. 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. 1.5.2).