4.3. ChIP-Seq Data Processing and Super Enhancer Analysis

BC Bohan Chen
YM Yiping Ma
JB Jinfang Bi
WW Wenbin Wang
AH Anshun He
GS Guangsong Su
ZZ Zhongfang Zhao
JS Jiandang Shi
LZ Lei Zhang
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The mapping of ChIP-seq data (Table 1) to hg19 was performed using bowtie2 [50]. H3K27ac peak calling was performed using MACS1.4 with default parameters [51]. Peak calling was separately performed for each sample. Peaks that could not be identified in each colorectal cancer sample and peaks that appeared within the region surrounding ±2.5 kb of transcriptional start sites were excluded from any further analysis. Afterwards, the H3K27ac peaks of the 7 individual samples (7 published colorectal cancer H3K27ac CHIP-seq datasets from ENCODE [16] and a published study [17]) were merged into a single set of peaks. Super enhancers were identified using the rank ordering of super enhancers (ROSE) algorithm [14]. For colorectal-cancer-specific enhancers, we removed all peak regions that contained any overlap with a peak detected in each normal colon region.

ChIP-seq data sets.

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