NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE84830 Query DataSets for GSE84830
Status Public on Mar 01, 2017
Title Data Exploration, Quality Control and Statistical Analysis of ChIP-exo/nexus Experiments
Organism Escherichia coli
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary ChIP-exo/nexus experiments present modifications on the commonly used ChIP-seq protocol for high resolution mapping of transcription factor binding sites. Although many aspects of the ChIP-exo data analysis are similar to those of ChIP-seq, these high throughput experiments pose a number of unique quality control and analysis challenges. We develop a statistical quality control pipeline and accompanying R package, ChIPexoQual, to enable exploration and analysis of ChIP-exo and related experiments. ChIPexoQual evaluates a number of key issues including strand imbalance, library complexity, and signal enrichment of data. Assessment of these features are facilitated through diagnostic plots and summary statistics calculated over regions of the genome with varying levels of coverage. We evaluated our QC pipeline with both large collections of public ChIP-exo/nexus data and multiple, new ChIP-exo datasets from E. coli. ChIPexoQual analysis of these datasets resulted in guidelines for using these QC metrics across a wide range of sequencing depths and provided further insights for modelling ChIP-exo data. Finally, although ChIP-exo experiments have been compared to ChIP-seq experiments with single-end (SE) sequencing, we provide, for the first time, comparisons with paired-end (PE) ChIP-seq experiments. We illustrate that, at fixed sequencing depths, ChIP-exo provides higher sensitivity, specificity, and spatial resolution than PE ChIP-seq and both significantly outperform their SE ChIP-seq counterpart.
 
Overall design Examination of sig70 factor in E. coli: 2 growth conditions, under two treatmnent and two replicates each.
 
Contributor(s) Landick R, Grass J, Sunduz K, Rene W, Dongjun C
Citation(s) 28911122
Submission date Jul 26, 2016
Last update date Jun 26, 2019
Contact name Rene Welch
E-mail(s) welch@stat.wisc.edu
Phone 6088861033
Organization name University of Wisconsin-Madison
Department Statistics
Lab Keles
Street address 626 Johnson St.
City Madison
State/province Wisconsin
ZIP/Postal code 53703
Country USA
 
Platforms (1)
GPL14548 Illumina HiSeq 2000 (Escherichia coli)
Samples (8)
GSM2251955 Sig70 in E. coli, exponential aerobic growth, no rifampicin applied replicate 1 (run 299)
GSM2251956 Sig70 in E. coli, exponential aerobic growth, no rifampicin applied replicate 2 (run 299)
GSM2251957 Sig70 in E. coli, static aerobic growth, no rifampicin applied replicate 1 (run 299)
Relations
BioProject PRJNA338159
SRA SRP081090

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
GSE84830_RAW.tar 13.6 Mb (http)(custom) TAR (of WIG)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap