GSM1577136	Sciatic_nerve	NA	GSE64703	 sciatic nerve	sciatic nerve			 Sprague Dawley	Sox-10; Santa Cruz Biotechnology, sc-17342x	ChIP-Seq	Rn5	Illumina Pipeline	Sciatic nerve 2 Sox10 ChIP-seq	bd_0_1_2_non_rn5	ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE64nnn/GSE64703/suppl/GSE64703_Sox10_peaks_PNS.bed.gz
GSM1585357	Sciatic_nerve	NA	GSE64971	 sciatic nerve	sciatic nerve			 Sprague Dawley	H3K27ac	ChIP-Seq	Rn5	Illumina Pipeline	Sciatic nerve H3K27ac ChIP-seq	bd_0_1_2_non_rn5	ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE64nnn/GSE64971/suppl/GSE64971_H3K27ac_P15_sciatic_nerve.bed.gz
GSM1541280	Sciatic_nerve	NA	GSE63103	 sciatic nerve	sciatic nerve			 Sprague Dawley	H3K27ac	ChIP-Seq	Rnor_5.0	Illumina Pipeline	Injury 1 H3K27ac ChIP-seq	bd_0_1_2_non_rn5	ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63103/suppl/GSE63103_H3K27ac_peaks_Injury.bed.gz
GSM1541278	Sciatic_nerve	NA	GSE63103	 sciatic nerve	sciatic nerve			 Sprague Dawley	H3K27ac	ChIP-Seq	Rnor_5.0	Illumina Pipeline	Sham 1 H3K27ac ChIP-seq	bd_0_1_2_non_rn5	ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE63nnn/GSE63103/suppl/GSE63103_H3K27ac_peaks_Sham.bed.gz
GSM862399	Sciatic_nerve	NA	GSE35132		 Schwann cellssciatic nerve at P15			 Spague-Dawley	EGR2 	ChIP-Seq	Rn4	Basecalling was performed using the standard Illumina Pipeline.  Reads were mapped to the Rattus norvegicus genome (Rn4) using Bowtie (http://bowtie-bio.sourceforge.net/index.shtml) to produce SAM files for further analysis. Peak finding was performed using the R package MOSAiCS (31) controlling the false discovery rate at 0.05. MOSAiCS implements a model-based approach where the background distribution for unbound regions take into account systematic biases such as mappability and GC content and the peak regions are described with a two component Negative Binomial mixture model. MOSAiCS is available at www.bioconductor.org/packages/2.8/bioc/vignettes/mosaics/inst/doc/mosaics-example.pdf.	Egr2 rep2 ChIP	bd_0_1_2_6_rn5	UsingSRR
GSM862401	Sciatic_nerve	NA	GSE35132		 Schwann cellssciatic nerve at P15			 Spague-Dawley	SOX10 	ChIP-Seq	Rn4	Basecalling was performed using the standard Illumina Pipeline.  Reads were mapped to the Rattus norvegicus genome (Rn4) using Bowtie (http://bowtie-bio.sourceforge.net/index.shtml) to produce SAM files for further analysis. Peak finding was performed using the R package MOSAiCS (31) controlling the false discovery rate at 0.05. MOSAiCS implements a model-based approach where the background distribution for unbound regions take into account systematic biases such as mappability and GC content and the peak regions are described with a two component Negative Binomial mixture model. MOSAiCS is available at www.bioconductor.org/packages/2.8/bioc/vignettes/mosaics/inst/doc/mosaics-example.pdf.	Sox10 rep1 ChIP lane 1	bd_0_1_2_6_rn5	UsingSRR
GSM862402	Sciatic_nerve	NA	GSE35132		 Schwann cellssciatic nerve at P16			 Spague-Dawley	SOX10 	ChIP-Seq	Rn4	Basecalling was performed using the standard Illumina Pipeline.  Reads were mapped to the Rattus norvegicus genome (Rn4) using Bowtie (http://bowtie-bio.sourceforge.net/index.shtml) to produce SAM files for further analysis. Peak finding was performed using the R package MOSAiCS (31) controlling the false discovery rate at 0.05. MOSAiCS implements a model-based approach where the background distribution for unbound regions take into account systematic biases such as mappability and GC content and the peak regions are described with a two component Negative Binomial mixture model. MOSAiCS is available at www.bioconductor.org/packages/2.8/bioc/vignettes/mosaics/inst/doc/mosaics-example.pdf.	Sox10 rep1 ChIP lane 2	bd_0_1_2_6_rn5	UsingSRR
GSM862404	Sciatic_nerve	NA	GSE35132		 Schwann cellssciatic nerve at P15			 Spague-Dawley	SOX10 	ChIP-Seq	Rn4	Basecalling was performed using the standard Illumina Pipeline.  Reads were mapped to the Rattus norvegicus genome (Rn4) using Bowtie (http://bowtie-bio.sourceforge.net/index.shtml) to produce SAM files for further analysis. Peak finding was performed using the R package MOSAiCS (31) controlling the false discovery rate at 0.05. MOSAiCS implements a model-based approach where the background distribution for unbound regions take into account systematic biases such as mappability and GC content and the peak regions are described with a two component Negative Binomial mixture model. MOSAiCS is available at www.bioconductor.org/packages/2.8/bioc/vignettes/mosaics/inst/doc/mosaics-example.pdf.	Sox10 rep2 ChIP	bd_0_1_2_6_rn5	UsingSRR
GSM862397	Sciatic_nerve	NA	GSE35132		 Schwann cellssciatic nerve at P15			 Spague-Dawley	EGR2 	ChIP-Seq	Rn4	Basecalling was performed using the standard Illumina Pipeline.  Reads were mapped to the Rattus norvegicus genome (Rn4) using Bowtie (http://bowtie-bio.sourceforge.net/index.shtml) to produce SAM files for further analysis. Peak finding was performed using the R package MOSAiCS (31) controlling the false discovery rate at 0.05. MOSAiCS implements a model-based approach where the background distribution for unbound regions take into account systematic biases such as mappability and GC content and the peak regions are described with a two component Negative Binomial mixture model. MOSAiCS is available at www.bioconductor.org/packages/2.8/bioc/vignettes/mosaics/inst/doc/mosaics-example.pdf.	Egr2 rep1 ChIP	bd_0_1_2_6_rn5	UsingSRR
GSM580235	Sciatic_nerve	NA	GSE23648	 P14 sciatic nerve	input DNA			 Sprague-Dawley		FAIRE	Rn4	Arrays were processed using Nimblegen's standard protocol for Nimblescan 2.4 ChIP data extraction.	Faire	bd_0_1_2_6_rn5	UsingSRR