Collection of data sets and customized scripts to reproduce plots from the manuscript.
How do I get set up?
R version >= 4.0 Python >= 3.10 Jupyter Server >= 2.10.1
R packages: "ggplot2", "ggpubr", "dplyr", "ggthemes", "pheatmap", "ggupset", "reshape2", "lemon", "tidyverse", "corrplot", "cluster", "Biobase", "qvalue", “Seurat”, “fishplot” and “mutationtimer”, "corrplot", "data.table", "grid", "RColorBrewer", "clonevol"
Python packages: "pandas", "numpy", "comut", "matplotlib", "palettable"
Who do I talk to?
For code related inquiries please contact: [email protected]
Authors: Juan Blanco-Heredia, Carla Anjos Souza, Juan L. Trincado, Maria Gonzalez-Cao, Samuel Gonçalves-Ribeiro, Sara Ruiz Gil, Dmytro Pravdyvets, Clare Puttick, Samandhy Cedeño, Maurizio Callari, Antonio Marra, Andrea M. Gazzo, Britta Weigelt, Fresia Pareja, Theodore Vougiouklakis, Achim A. Jungbluth, Nicholas McGranahan, Rafael Rosel, Christian Brander, Francesc Tresserra, Jorge S. Reis-Filho, Daniel Guimarães Tiezzi, Nuria de la Iglesia, Holger Heyn & Leticia De Mattos-Arruda.
Marie-Josée and Henry R. Kravis Center for Molecular Oncology website IrsiCaixa-NeoVaCan website CNAG-Single Cell Genomics Team website MSKCC-WeigeltLab website
DOI:
