Data Availability for eLife2022;11:e80956 (DOI: https://doi.org/10.7554/eLife.80956)

The R and Python codes implemented in the study described in the paper titled "Single-cell transcriptomics identifies Keap1-Nrf2 regulated collective invasion in a Drosophila tumor model" - eLife2022;11:e80956 (DOI: https://doi.org/10.7554/eLife.80956) - are available here:

preprocessing_code.sh describes the codes run on the Shell terminal to process fasta files from both whole-tissue and single-cell RNA-Seq analysis.

bulkSeq_code.R describes the codes run on R for whole-tissue RNA-Seq analysis.

seurat_code.R describes the codes run in R for the clustering analysis of single-cell RNA-Seq analysis.

scvelo_code.py describes the codes run in Python for RNA velocity analysis of cluster 7 cells in scvelo.