1q-13 paper data and code repository

This is the repository containg all the raw data and analysis scripts used for generating the reults of the following manuscript:

Terragna C. & Poletti A. et al. (2024). Multi-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features. Nature Communications, 15(1), 1551. DOI: https://doi.org/10.1038/s41467-024-45000-z

Directory tree structure

• code: contains the R scripts used to analyze both CoMMpass and BO datasets.
• data: contains all the raw data used in the paper.
  • Raw copy number profiles (from ASCAT)
  • GISTIC run results
  • clinical data
  • GSEA data
• plot folder: contains all the paper's images, including the raw data used to generate them.
• workfiles: intermediate files required for subsequent analyses.
• results: final data generated from the analyses.