Signature-QBiC (SigQBiC)
We developed the “Signature-QBiC” prediction model that integrates mutational signature profiles with the QBiC method to investigate the effect of mutational signatures on TF bindings. QBiC is trained from protein binding microarray experiments and able to estimate the effect of every single-nucleotide change in the center of every 11-mer. SigQBiC has functions to predict the effects of mutational signatures on TF binding, get QBiC scores for single nucleotide variants in the center of an 11-mer.
Install the latest version of SigQBiC from the master branch on GitHub, which may not be stable:
install.packages("devtools")
devtools::install_github("mickyliumo/SigQBiC")https://github.com/mickyliumo/SigQBiC/blob/master/SigQBiC_0.1.2.pdf