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Series GSE78064 Query DataSets for GSE78064
Status Public on Sep 01, 2016
Title A Scalable Epitope Tagging Approach for High Throughput ChIP-seq Analysis
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary A Scalable Epitope Tagging Approach for High Throughput ChIP-seq Analysis
 
Overall design ChIP-seq comparison between CRISPR editing cells using epitope antibody and non-editing cells using endogeneous TF antibody
 
Contributor(s) Yan J, Ren B, Xiong X, Zhao H
Citation(s) 28215080
Submission date Feb 18, 2016
Last update date May 15, 2019
Contact name Jian Yan
E-mail(s) jian.yan618@gmail.com
Organization name City University of Hong Kong
Department Biomedical Sciences
Lab Jian Yan
Street address 83 Tat Chee Ave
City Kowloon
ZIP/Postal code 999077
Country Hong Kong
 
Platforms (2)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (36)
GSM2065874 Flag_SP1_mono1
GSM2065875 Flag_SP1_mono2
GSM2065876 Flag_SP1_mono3
Relations
BioProject PRJNA312498
SRA SRP070517

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE78064_RAW.tar 3.9 Gb (http)(custom) TAR (of BW)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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