This repo contains data and scripts to generate figures for a book chapter titled:
Anti-cancer effect of RKIP via modulating autophagy during metastasis
The following is Appendix A from the text which describes the data sources and the method used to generate the figures
The expression level of RKIP in different types of tumor and their corresponding normal tissue were obtained through GEPIA. The web server was accessed through the link http://gepia.cancer-pku.cn. The term "PEBP1" was queried and relevant data were retrieved. The dataset consisted of the expression of RKIP in (n=31) tumor and normal tissues from which the cumulative distribution functions were calculated.
The mutations and copy number alterations data were obtained from cBioPortal. The web server was accessed through the link http://www.cbioportal.org. The gene name "PEBP1" was used to query and download the genetic alterations for "All listed studies". The dataset consisted of RKIP mutations and copy number alterations in (n=240) cancer studies. The entries were classified into Altered vs Not altered and Mutated vs Not mutated and used to count the cumulative distribution function.
The data were imported and processed in R software environment and used to generate the graph. The source code for reproducing the graph is available online https://github.com/BCMSLab/rkiprev.
To reproduce the figures, clone this repo and run make
.
git clone https://github.com/BCMSLab/rkiprev
cd rkiprev
make
The only requirement in the for running the code properly in R, is the tidyverse
package. The docker image rocker/verse
can be used for this purpose.
docker pull rocker/verse
The final version of the book chapter can be viewed here