ChIP-seq analysis

HW Hengyou Weng
FH Feng Huang
ZY Zhaojin Yu
ZC Zhenhua Chen
EP Emily Prince
YK Yalin Kang
KZ Keren Zhou
WL Wei Li
JH Jiacheng Hu
CF Chen Fu
TA Tursunjan Aziz
HL Hongzhi Li
JL Jingwen Li
YY Ying Yang
LH Li Han
SZ Subo Zhang
YM Yuelong Ma
MS Mingli Sun
HW Huizhe Wu
ZZ Zheng Zhang
MW Mark Wunderlich
SR Sean Robinson
DB Daniel Braas
JH Johanna ten Hoeve
BZ Bin Zhang
GM Guido Marcucci
JM James C Mulloy
KZ Keda Zhou
HT Hong-Fang Tao
XD Xiaolan Deng
DH David Horne
MW Minjie Wei
HH Huilin Huang
JC Jianjun Chen
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The raw sequencing data of public ChIP-seq dataset (GSE79899) was downloaded and decompressed from GEO database by using SRAtoolkit (v3.0.0). The raw sequencing reads were then firstly quality controlled with FastQC and mapped to the human genome (hg38) by using bowtie2 70 (version 2.3.2). After alignments, we used Picard software (version 2.21.1) to mark and discard the PCR duplicates from aligned results. We then estimated the fragment sizes of ChIP-seq libraries with phantompeakqualtools 63 as the parameter “--extsize” of MACS2 and analyzed the significant binding or histone modification regions by utilizing MACS2 56 (version 2.2.7.1) with following parameters: -g hs --mfold 5 50 -p 0.01 --nomodel --shift 0 --keep-dup all -B --SPMR. Finally, the peaks with p-values less than 0.01 were recognized as significantly enriched regions and kept for downstream analysis. The normalized signals of aligned ChIP-seq tags were calculated by deeptools 64 (version 3.5.1).

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