Re-analysis of the publicly available single-cell dataset from:
The Tabula Muris Consortium. Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris.
Nature 2018. https://doi.org/10.1038/s41586-018-0590-4
Data: figshare / GEO: GSE109774
- System: Mouse multi-organ reference atlas — immune-cell compartment
- Assay: 10x Genomics + Smart-seq2 scRNA-seq
- Accession / source: figshare / GEO: GSE109774
Preprocesses the immune-cell compartment of the mouse multi-organ atlas into a Seurat object for cross-tissue immune comparisons. See scripts/01_Tabula_Muris_immune_cell_dataset_preprocessing.Rmd.
scripts/— analysis pipeline (numbered.Rmdscripts run in order)Setup.R/Load_packages.R— environment setup and package loading- Large data objects are not tracked in Git — download from the source above.
Part of my NK / T-cell single-cell research programme — see my GitHub profile and dilloncorvino.com.
Author: Dillon Corvino
Built in R with a Seurat-based single-cell stack — key packages: Seurat, SeuratDisk, scCustomize, dplyr, ggplot2, plus my helper package r-utility-functions.
No pinned renv.lock is committed; the packages listed above are the required dependencies.
Raw data is not stored in this repository — download it from the accession / source cited above into the expected data directory before running the pipeline. Processed objects are regenerated by the analysis scripts.