RT Journal Article
SR Electronic
T1 Universal correction of enzymatic sequence bias
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 104364
DO 10.1101/104364
A1 André L. Martins
A1 Ninad M. Walavalkar
A1 Warren D. Anderson
A1 Chongzhi Zang
A1 Michael J Guertin
YR 2017
UL http://biorxiv.org/content/early/2017/01/30/104364.abstract
AB Coupling molecular biology to high throughput sequencing has revolutionized the study of biology. Molecular genomics techniques are continually refined to provide higher resolution mapping of nucleic acid interactions and structure. Sequence preferences of enzymes can interfere with the accurate interpretation of these data. We developed seqOutBias to characterize enzymatic sequence bias from experimental data and scale individual sequence reads to correct intrinsic enzymatic sequence biases. SeqOutBias efficiently corrects DNase-seq, TACh-seq, ATAC-seq, MNase-seq, and PRO-seq data. Lastly, we show that seqOutBias correction facilitates identification of true molecular signatures resulting from transcription factors and RNA polymerase interacting with DNA.