Impact of artifact removal on ChIP quality metrics in ChIP-seq and ChIP-exo data.
With the advent of ChIP-seq multiplexing technologies and the subsequent increase in ChIP-seq throughput, the development of working standards for the quality assessment of ChIP-seq studies has received significant attention. The ENCODE consortium's large scale analysis of transcription factor binding and epigenetic marks as well as concordant work on ChIP-seq by other laboratories has established a new generation of ChIP-seq quality control measures. The use of these metrics alongside common processing steps has however not been evaluated. In this study, we investigate the effects of blacklisting and removal of duplicated reads on established metrics of ChIP-seq quality and show that the interpretation of these metrics is highly dependent on the ChIP-seq preprocessing steps applied. Further to this we perform the first investigation of the use of these metrics for ChIP-exo data and make recommendations for the adaptation of the NSC statistic to allow for the assessment of ChIP-exo efficiency.
Cambridge Institute CRUK, University of Cambridge Cambridge, UK.
Thomas S
TS
Carroll
Lymphocyte Development, MRC Clinical Sciences Centre, Imperial College London, UK.
Ziwei
Z
Liang
Cambridge Institute CRUK, University of Cambridge Cambridge, UK.
Rafik
R
Salama
Cambridge Institute CRUK, University of Cambridge Cambridge, UK.
Rory
R
Stark
Cambridge Institute CRUK, University of Cambridge Cambridge, UK.
Ines
I
de Santiago
ChIP-exo; ChIP-seq; QC; blacklist; duplicates