GSM3244780 Log_cell NA GSE116646 log phase S. cerevisiae log phase S. cerevisiae FY3179 POLR2A ChIP-Seq sacCer3 Reads were trimmed using cutadapt (base quality threshold of 20) pol2-wt-2: wild-type Rpb1 ChIP-Seq 2 bg_0_1_2_4_sc3 GSM3244780_pol2-wt-2_Scer_normSI.bedgraph.gz GSM3244779 Log_cell NA GSE116646 log phase S. cerevisiae log phase S. cerevisiae FY3179 POLR2A ChIP-Seq sacCer3 Reads were trimmed using cutadapt (base quality threshold of 20) pol2-wt-1: wild-type Rpb1 ChIP-Seq 1 bg_0_1_2_4_sc3 GSM3244779_pol2-wt-1_Scer_normSI.bedgraph.gz GSM3244764 Log_cell NA GSE116646 log phase S. cerevisiae log phase S. cerevisiae FY3179 ha-2 ChIP-Seq sacCer3 Reads were trimmed using cutadapt (base quality threshold of 20) ha-wt-2: wild-type Set2-HA ChIP-Seq 2 bg_0_1_2_4_sc3 GSM3244764_ha-wt-2_Scer_normSI.bedgraph.gz GSM3244763 Log_cell NA GSE116646 log phase S. cerevisiae log phase S. cerevisiae FY3179 ha-1 ChIP-Seq sacCer3 Reads were trimmed using cutadapt (base quality threshold of 20) ha-wt-1: wild-type Set2-HA ChIP-Seq 1 bg_0_1_2_4_sc3 GSM3244763_ha-wt-1_Scer_normSI.bedgraph.gz GSM3244760 Log_cell NA GSE116646 log phase S. cerevisiae log phase S. cerevisiae FY3180 ha-spt6-2 ChIP-Seq sacCer3 Reads were trimmed using cutadapt (base quality threshold of 20) ha-spt6-2: spt6-1004 Set2-HA ChIP-Seq 2 bg_0_1_2_4_sc3 GSM3244760_ha-spt6-2_Scer_normSI.bedgraph.gz GSM3244759 Log_cell NA GSE116646 log phase S. cerevisiae log phase S. cerevisiae FY3180 ha-spt6-1 ChIP-Seq sacCer3 Reads were trimmed using cutadapt (base quality threshold of 20) ha-spt6-1: spt6-1004 Set2-HA ChIP-Seq 1 bg_0_1_2_4_sc3 GSM3244759_ha-spt6-1_Scer_normSI.bedgraph.gz GSM3244758 Log_cell NA GSE116646 log phase S. cerevisiae log phase S. cerevisiae FY3182 ha-set2-2 ChIP-Seq sacCer3 Reads were trimmed using cutadapt (base quality threshold of 20) ha-set2-2: SET2-H366N Set2-HA ChIP-Seq 2 bg_0_1_2_4_sc3 GSM3244758_ha-set2-2_Scer_normSI.bedgraph.gz GSM3244757 Log_cell NA GSE116646 log phase S. cerevisiae log phase S. cerevisiae FY3182 ha-set2-1 ChIP-Seq sacCer3 Reads were trimmed using cutadapt (base quality threshold of 20) ha-set2-1: SET2-H366N Set2-HA ChIP-Seq 1 bg_0_1_2_4_sc3 GSM3244757_ha-set2-1_Scer_normSI.bedgraph.gz GSM3189557 Log_cell NA GSE115775 log phase S. cerevisiae log phase S. cerevisiae FY87 MNase sacCer3 The Snakemake pipeline used to process MNase-seq libraries is available at github.com/winston-lab. The barcode is the first 6 bases of the read and is ACTTGA for this library . Paired-end reads were demultiplexed using fastq-multx, allowing one mismatch to the barcode. Read 2 barcode removal and 3กฏ quality trimming were performed with cutadapt. Reads were aligned to the combined S. cerevisiae and S. pombe genome using Bowtie1, and correctly paired reads were selected using SAMtools. Coverage of nucleosome protection and nucleosome dyads were extracted using bedtools and custom shell scripts to get the entire fragment or the midpoint of the fragment, respectively. Smoothed nucleosome dyad coverage was generated by smoothing dyad coverage with a Gaussian kernel of 20 bp bandwidth. Coverage was normalized to the total number of correctly paired S. pombe fragments. wild-type 37C MNase-seq 1 bw_0_1_2_4_sc3 GSM3189557_WT-37C-1-mnase-midpoint-spikenorm.bw GSM3189544 Log_cell NA GSE115775 log phase S. cerevisiae log phase S. cerevisiae FY3126 wild-type 37C TFIIB ChIP-nexus 2 ChIP-Seq sacCer3 The Snakemake pipeline used to process ChIP-nexus libraries is available at github.com/winston-lab. Filtering for reads containing the constant region of the adapter on the 5กฏ end of the read, 3กฏ adapter removal, and 3กฏ quality trimming were performed using cutadapt. The random pentamer molecular barcode on the 5กฏ end of the read was then removed and processed using a custom Python script. Reads were aligned to the combined S. cerevisiae and S. pombe genomes using Bowtie2, and uniquely mapping reads were selected using SAMtools. Reads mapping to the same location as another read with the same molecular barcode were identified as PCR duplciates and removed using a custom Python script. Coverage of the 5กฏ-most base, corresponding to the point of crosslinking, was extracted using bedtools genomecov. The median fragment size estimated by MACS2 over all ChIP-nexus samples for the same factor was used to generate coverage of factor protection and fragment midpoints, by extending reads to the fragment size, or by shifting reads by half the fragment size, respectively. Coverage was normalized to the total number of reads uniquely mapping to S. cerevisiae. wild-type 37C TFIIB ChIP-nexus 2 bw_0_1_2_4_sc3 GSM3189544_WT-37C-2_tfiib-chipnexus-libsizenorm-midpoints.bw GSM3189543 Log_cell NA GSE115775 log phase S. cerevisiae log phase S. cerevisiae FY3126 wild-type 37C TFIIB ChIP-nexus 1 ChIP-Seq sacCer3 The Snakemake pipeline used to process ChIP-nexus libraries is available at github.com/winston-lab. Filtering for reads containing the constant region of the adapter on the 5กฏ end of the read, 3กฏ adapter removal, and 3กฏ quality trimming were performed using cutadapt. The random pentamer molecular barcode on the 5กฏ end of the read was then removed and processed using a custom Python script. Reads were aligned to the combined S. cerevisiae and S. pombe genomes using Bowtie2, and uniquely mapping reads were selected using SAMtools. Reads mapping to the same location as another read with the same molecular barcode were identified as PCR duplciates and removed using a custom Python script. Coverage of the 5กฏ-most base, corresponding to the point of crosslinking, was extracted using bedtools genomecov. The median fragment size estimated by MACS2 over all ChIP-nexus samples for the same factor was used to generate coverage of factor protection and fragment midpoints, by extending reads to the fragment size, or by shifting reads by half the fragment size, respectively. Coverage was normalized to the total number of reads uniquely mapping to S. cerevisiae. wild-type 37C TFIIB ChIP-nexus 1 bw_0_1_2_4_sc3 GSM3189543_WT-37C-1_tfiib-chipnexus-libsizenorm-midpoints.bw GSM3189556 Log_cell NA GSE115775 log phase S. cerevisiae log phase S. cerevisiae FY3128 wild-type 30C Rpb1 ChIP-nexus 2 ChIP-Seq sacCer3 The Snakemake pipeline used to process ChIP-nexus libraries is available at github.com/winston-lab. Filtering for reads containing the constant region of the adapter on the 5กฏ end of the read, 3กฏ adapter removal, and 3กฏ quality trimming were performed using cutadapt. The random pentamer molecular barcode on the 5กฏ end of the read was then removed and processed using a custom Python script. Reads were aligned to the combined S. cerevisiae and S. pombe genomes using Bowtie2, and uniquely mapping reads were selected using SAMtools. Reads mapping to the same location as another read with the same molecular barcode were identified as PCR duplciates and removed using a custom Python script. Coverage of the 5กฏ-most base, corresponding to the point of crosslinking, was extracted using bedtools genomecov. The median fragment size estimated by MACS2 over all ChIP-nexus samples for the same factor was used to generate coverage of factor protection and fragment midpoints, by extending reads to the fragment size, or by shifting reads by half the fragment size, respectively. Coverage was normalized to the total number of reads uniquely mapping to S. cerevisiae. wild-type 30C Rpb1 ChIP-nexus 2 bw_0_1_2_4_sc3 GSM3189556_YPD-2_spt6-chipnexus-libsizenorm-midpoints.bw GSM3189555 Log_cell NA GSE115775 log phase S. cerevisiae log phase S. cerevisiae FY3128 wild-type 30C Rpb1 ChIP-nexus 1 ChIP-Seq sacCer3 The Snakemake pipeline used to process ChIP-nexus libraries is available at github.com/winston-lab. Filtering for reads containing the constant region of the adapter on the 5กฏ end of the read, 3กฏ adapter removal, and 3กฏ quality trimming were performed using cutadapt. The random pentamer molecular barcode on the 5กฏ end of the read was then removed and processed using a custom Python script. Reads were aligned to the combined S. cerevisiae and S. pombe genomes using Bowtie2, and uniquely mapping reads were selected using SAMtools. Reads mapping to the same location as another read with the same molecular barcode were identified as PCR duplciates and removed using a custom Python script. Coverage of the 5กฏ-most base, corresponding to the point of crosslinking, was extracted using bedtools genomecov. The median fragment size estimated by MACS2 over all ChIP-nexus samples for the same factor was used to generate coverage of factor protection and fragment midpoints, by extending reads to the fragment size, or by shifting reads by half the fragment size, respectively. Coverage was normalized to the total number of reads uniquely mapping to S. cerevisiae. wild-type 30C Rpb1 ChIP-nexus 1 bw_0_1_2_4_sc3 GSM3189555_YPD-1_spt6-chipnexus-libsizenorm-midpoints.bw GSM3189554 Log_cell NA GSE115775 log phase S. cerevisiae log phase S. cerevisiae FY3128 wild-type 30C Spt6 ChIP-nexus 2 ChIP-Seq sacCer3 The Snakemake pipeline used to process ChIP-nexus libraries is available at github.com/winston-lab. Filtering for reads containing the constant region of the adapter on the 5กฏ end of the read, 3กฏ adapter removal, and 3กฏ quality trimming were performed using cutadapt. The random pentamer molecular barcode on the 5กฏ end of the read was then removed and processed using a custom Python script. Reads were aligned to the combined S. cerevisiae and S. pombe genomes using Bowtie2, and uniquely mapping reads were selected using SAMtools. Reads mapping to the same location as another read with the same molecular barcode were identified as PCR duplciates and removed using a custom Python script. Coverage of the 5กฏ-most base, corresponding to the point of crosslinking, was extracted using bedtools genomecov. The median fragment size estimated by MACS2 over all ChIP-nexus samples for the same factor was used to generate coverage of factor protection and fragment midpoints, by extending reads to the fragment size, or by shifting reads by half the fragment size, respectively. Coverage was normalized to the total number of reads uniquely mapping to S. cerevisiae. wild-type 30C Spt6 ChIP-nexus 2 bw_0_1_2_4_sc3 GSM3189554_YPD-2_rnapii-chipnexus-libsizenorm-midpoints.bw GSM3189553 Log_cell NA GSE115775 log phase S. cerevisiae log phase S. cerevisiae FY3128 wild-type 30C Spt6 ChIP-nexus 1 ChIP-Seq sacCer3 The Snakemake pipeline used to process ChIP-nexus libraries is available at github.com/winston-lab. Filtering for reads containing the constant region of the adapter on the 5กฏ end of the read, 3กฏ adapter removal, and 3กฏ quality trimming were performed using cutadapt. The random pentamer molecular barcode on the 5กฏ end of the read was then removed and processed using a custom Python script. Reads were aligned to the combined S. cerevisiae and S. pombe genomes using Bowtie2, and uniquely mapping reads were selected using SAMtools. Reads mapping to the same location as another read with the same molecular barcode were identified as PCR duplciates and removed using a custom Python script. Coverage of the 5กฏ-most base, corresponding to the point of crosslinking, was extracted using bedtools genomecov. The median fragment size estimated by MACS2 over all ChIP-nexus samples for the same factor was used to generate coverage of factor protection and fragment midpoints, by extending reads to the fragment size, or by shifting reads by half the fragment size, respectively. Coverage was normalized to the total number of reads uniquely mapping to S. cerevisiae. wild-type 30C Spt6 ChIP-nexus 1 bw_0_1_2_4_sc3 GSM3189553_YPD-1_rnapii-chipnexus-libsizenorm-midpoints.bw GSM2256441 Log_cell NA GSE85031 yeast cells in log phase S288C V5 ChIP-Seq reads were aligned with BWA version 0.6.1 H2A.Z-LOG bd_0_1_2_6_sc3 UsingSRR GSM2577547 Log_cell NA GSE97801 OD600=0.3~0.5 log-phase yeast culture SC32 mock for CgPho4 ChIP w/o ScPho2 ChIP-Seq Basecalling using bcl2fastq-1.8.3 mock for CgPho4 ChIP w/o ScPho2 bd_0_1_2_6_sc3 UsingSRR GSM2577545 Log_cell NA GSE97801 OD600=0.3~0.5 log-phase yeast culture EY2867 CgPho4 ChIP w/o ScPho2 ChIP-Seq Basecalling using bcl2fastq-1.8.3 CgPho4 ChIP w/o ScPho2 bd_0_1_2_6_sc3 UsingSRR GSM2577544 Log_cell NA GSE97801 OD600=0.3~0.5 log-phase yeast culture SC32 mock for CgPho4 ChIP with ScPho2 ChIP-Seq Basecalling using bcl2fastq-1.8.3 mock for CgPho4 ChIP with ScPho2 bd_0_1_2_6_sc3 UsingSRR GSM2577542 Log_cell NA GSE97801 OD600=0.3~0.5 log-phase yeast culture EY2869 CgPho4 ChIP with ScPho2 ChIP-Seq Basecalling using bcl2fastq-1.8.3 CgPho4 ChIP with ScPho2 bd_0_1_2_6_sc3 UsingSRR GSM2577541 Log_cell NA GSE97801 OD600=0.3~0.5 log-phase yeast culture EY2879 mock for ScPho4 ChIP with ScPho2 ChIP-Seq Basecalling using bcl2fastq-1.8.3 mock for ScPho4 ChIP with ScPho2 bd_0_1_2_6_sc3 UsingSRR GSM2577539 Log_cell NA GSE97801 OD600=0.3~0.5 log-phase yeast culture EY2681 ScPho4 ChIP with ScPho2 ChIP-Seq Basecalling using bcl2fastq-1.8.3 ScPho4 ChIP with ScPho2 bd_0_1_2_6_sc3 UsingSRR GSM1333376 Log_cell NA GSE55281 Log-phase cells W303 Monoclonal Flag M2 ChIP-Seq sacCer3 Basecalls performed using CASAVA version 1.8. Jhd2_ChIPSeq bd_0_1_2_6_sc3 UsingSRR GSM999652 Log_cell NA GSE40717 mid-log phase ASF1-18myc cells, ChIP ASF1-18myc Myc tag, clone A46 ChIP-Seq sacCer3 Reads with phred score < 20 on 80% of the bases were filtered out with FASTX toolkit V0.0.13. Asf1_ChIPseq2 bg_0_1_2_4_sc3 GSM999652_Asf1_ChIPseq_Replicate_2.bedgraph.gz GSM999651 Log_cell NA GSE40717 mid-log phase ASF1-18myc cells, ChIP ASF1-18myc Myc tag, clone A46 ChIP-Seq sacCer3 Reads with phred score < 20 on 80% of the bases were filtered out with FASTX toolkit V0.0.13. Asf1_ChIPseq1 bg_0_1_2_4_sc3 GSM999651_Asf1_ChIPseq_Replicate_1.bedgraph.gz GSM971759 Log_cell NA GSE39566 Log-phase cells Sepharose??CL-4B ChIP-Seq sacCer3 Reads with phred score < 20 on 80% of the bases were filtered out with FASTX toolkit V0.0.13 RPC128-FLAG MOCK_Normal Growth bg_0_1_2_4_sc3 GSM971759_Run0007_SO_637_YK8_s_2_sequence.bedGraph.gz GSM971758 Log_cell NA GSE39566 Log-phase cells FLAG M2?Affinity Gel ChIP-Seq sacCer3 Reads with phred score < 20 on 80% of the bases were filtered out with FASTX toolkit V0.0.13 RPC128-FLAG IP_Normal Growth_Replicate2 bg_0_1_2_4_sc3 GSM971758_Run0052_SO_637_YK2_s_2_sequence.bedGraph.gz GSM971757 Log_cell NA GSE39566 Log-phase cells FLAG M2?Affinity Gel ChIP-Seq sacCer3 Reads with phred score < 20 on 80% of the bases were filtered out with FASTX toolkit V0.0.13 RPC128-FLAG IP_Normal Growth_Replicate1 bg_0_1_2_4_sc3 GSM971757_Run0052_SO_637_YK1_s_1_sequence.bedGraph.gz GSM1342297 Log_cell NA GSE55717 CBS432_FAIRE CBS432 FAIRE sacCer3 library strategy: FAIRE-seq CBS432_FAIRE_replicate2 bd_0_1_2_4_sc3 GSM1342297_CBS2_FAIRE_NFR_counts_DBVdivsites.bed.gz GSM1342296 Log_cell NA GSE55717 CBS432_FAIRE CBS432 FAIRE sacCer3 library strategy: FAIRE-seq CBS432_FAIRE_replicate1 bd_0_1_2_4_sc3 GSM1342296_CBS1_FAIRE_NFR_counts_DBVdivsites.bed.gz GSM1342295 Log_cell NA GSE55717 DBVPG1373_FAIRE DBVPG1373 FAIRE sacCer3 library strategy: FAIRE-seq DBVPG1373_FAIRE_replicate2 bd_0_1_2_4_sc3 GSM1342295_DBV2_FAIRE_NFR_counts.bed.gz GSM1342294 Log_cell NA GSE55717 DBVPG1373_FAIRE DBVPG1373 FAIRE sacCer3 library strategy: FAIRE-seq DBVPG1373_FAIRE_replicate1 bd_0_1_2_4_sc3 GSM1342294_DBV1_FAIRE_NFR_counts.bed.gz GSM1342293 Log_cell NA GSE55717 UWOPS05_217_3_FAIRE UWOPS05_217_3 FAIRE sacCer3 library strategy: FAIRE-seq UWOPS05_217_3_FAIRE_replicate2 bd_0_1_2_4_sc3 GSM1342293_UW2_FAIRE_NFR_counts.bed.gz GSM1342292 Log_cell NA GSE55717 UWOPS05_217_3_FAIRE UWOPS05_217_3 FAIRE sacCer3 library strategy: FAIRE-seq UWOPS05_217_3_FAIRE_replicate1 bd_0_1_2_4_sc3 GSM1342292_UW1_FAIRE_NFR_counts.bed.gz GSM2837738 Log_cell NA GSE106450 S.cerevisiae cells ATAC-Seq sacCer3 The quality of fastq files were checked by fastqc and trimmed by trim_galore ATAC_set2D bw_0_1_2_4_sc3 GSM2837738_ATAC_log_set2D_vs_WT.bigWig GSM2837737 Log_cell NA GSE106450 S.cerevisiae cells ATAC-Seq sacCer3 The quality of fastq files were checked by fastqc and trimmed by trim_galore ATAC_dot1D bw_0_1_2_4_sc3 GSM2837737_ATAC_log_dot1D_vs_WT.bigWig GSM2837736 Log_cell NA GSE106450 S.cerevisiae cells ATAC-Seq sacCer3 The quality of fastq files were checked by fastqc and trimmed by trim_galore ATAC_sas2D bw_0_1_2_4_sc3 GSM2837736_ATAC_log_sas2D_vs_WT.bigWig GSM2837734 Log_cell NA GSE106450 S.cerevisiae cells MNase sacCer3 The quality of fastq files were checked by fastqc and trimmed by trim_galore MNase_WT bd_0_1_2_6_sc3 UsingSRR GSM2579081 Log_cell NA GSE97827 GRY3031 RPB1 GRY3031 RPB1 POLR2A ChIP-Seq sacCer3 Single-end 50 base reads (after removing barcodes) or 125 base reads (after removing barcodes and trimming adaptor sequences) were mapped to the hg19 UCSC human genome or sacCer3 yeast genome with Bowtie version 0.12.5 for ChIP-seq and with Hisat2 version 2.0.4 for t-NET-seq RNA pol II ChIP-seq yRpb1 WT bw_0_1_2_4_sc3 GSM2579081_scer3_GRY3031_CTD_Bc4rrfacxx_R1_TCAAGT.bw GSM1642541 Log_cell NA GSE67212 yeast cells POLR2A ChIP-Seq SacCer3 Basecalls performed using CASAVA version 1.8 Pol2 ChIP in Jhd2 wild type bg_0_1_2_4_sc3 GSM1642541_Pol2wt.bedGraph.gz GSM1621333 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY157 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin6c bd_0_1_2_6_sc3 UsingSRR GSM1621332 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY156 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin6b bd_0_1_2_6_sc3 UsingSRR GSM1621331 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY155 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin6a bd_0_1_2_6_sc3 UsingSRR GSM1621330 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY154 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin3c bd_0_1_2_6_sc3 UsingSRR GSM1621329 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY153 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin3b bd_0_1_2_6_sc3 UsingSRR GSM1621328 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY152 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin3a bd_0_1_2_6_sc3 UsingSRR GSM1621327 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY151 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin2c bd_0_1_2_6_sc3 UsingSRR GSM1621326 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY150 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin2b bd_0_1_2_6_sc3 UsingSRR GSM1621325 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY149 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin2a bd_0_1_2_6_sc3 UsingSRR GSM1621324 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY148 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin0c bd_0_1_2_6_sc3 UsingSRR GSM1621323 Log_cell NA GSE66386 Saccharomyces cerevisiae cells mid-log GSY147 ATAC-Seq sacCer3 Library strategy: ATAC-seq S. cerevisiae lin0a bd_0_1_2_6_sc3 UsingSRR GSM1354508 Log_cell NA GSE56061 pol2ser2ChIP_wt POLR2A ChIP-Seq sacCer3 Basecalls performed using CASAVA version 1.8 pol2ser2ChIP_wt bw_0_1_2_4_sc3 GSM1354508_pol2ser2ChIP_wt.bw GSM1354506 Log_cell NA GSE56061 pol2ser5ChIP_wt POLR2A ChIP-Seq sacCer3 Basecalls performed using CASAVA version 1.8 pol2ser5ChIP_wt bw_0_1_2_4_sc3 GSM1354506_pol2ser5ChIP_wt.bw GSM1437201 Log_cell NA GSE59370 BY4742_WT BY4742 POLR2A ChIP-Seq sacCer3 FASTQ files have been generated using CASAVA v1.8.2. Pol_II_BY4742_WT_rep2_ChIPseq bd_0_1_2_6_sc3 UsingSRR GSM1437200 Log_cell NA GSE59370 BY4742_WT BY4742 POLR2A ChIP-Seq sacCer3 FASTQ files have been generated using CASAVA v1.8.2. Pol_II_BY4742_WT_rep1_ChIPseq bd_0_1_2_6_sc3 UsingSRR GSM1018218 Log_cell NA GSE41494 Yeast POLR2A ChIP-Seq Reads were mapped using GEM mapper version build 539 with default parameters Pol 2 WT 0' Rep 2 bd_0_1_2_6_sc3 UsingSRR GSM1018217 Log_cell NA GSE41494 Yeast POLR2A ChIP-Seq Reads were mapped using GEM mapper version build 539 with default parameters Pol 2 WT 0' Rep 1 bd_0_1_2_6_sc3 UsingSRR