Since chr8q gain is associated with high-grade transformation in MPNST and inferior overall survival, we integrate multi-omics data to understand drivers and potential targets based on chr8q status. To do this, we include two studies of MPNST omics measruements.
The analysis code for the project is included in this repository. It requires a large amount of proteomic data processing, contained in the proteomics directory. The code included in this folder is for information only, as it requires access to the PNNL intranet to operate. The analysis and figures for this paper are included in the figures directory.
We also carry out omics analysis implicating FAK in cancer progression. The code to carry out the FAK in the [FAK Analysis](./FAK analysis) directory. This also requires the dependencies below.
The analysis for both manuscripts requires numerous dependencies, they are listed in the installDependences.R script.