Data for Same-Slide Spatial Multi-Omics Integration Reveals Tumor Virus-Linked Spatial Reorganization of the Tumor Microenvironment

Data for Same-Slide Spatial Multi-Omics Integration Reveals Tumor Virus-Linked Spatial Reorganization of the Tumor Microenvironment

The Archive data.tar.gz includes essential data directories for analysis and visualization related to various computational studies. Below are details of each directory's purpose and contents:

DLBCL_run: Contains datasets and scripts specifically tailored for the analysis of Diffuse Large B-Cell Lymphoma (DLBCL). It provides processed data necessary for detailed analyses and visualization.

SGCC_data: This directory contains simulation data for Spectral Graph Cross Correlation (SGCC) analyses, which are used to study the relationships within graph-based data structures. 

Tonsil_run: Features data and resources for analyzing Tonsil tissue samples. The folder includes datasets essential for conducting detailed tissue analysis and visualization.

Extracting the Data

To extract the contents of this archive, execute the following command in a Unix-based system's terminal:

tar -zxvf data.tar.gz 

This command will decompress and unpack the data.tar.gz file into the current directory, maintaining the structured organization of the folders as described above.

Usage

The data extracted is prepared for immediate analysis with the scripts available on our GitHub repository. These scripts are specially crafted to interact with the data formats found within the extracted directories, with comprehensive annotations to assist users in understanding and adapting them as needed.