Commit 57dc2675 authored by Marco Monti's avatar Marco Monti
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Update README.md

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Notaro M, Monti M, Beretta S, Merelli I, Squadrito M, _et al._; 2025 Notaro M, Monti M, Beretta S, Merelli I, Squadrito M, _et al._; 2025
Corresponding Author: Mario Leonardo Squadrito. Email: squadrito.mario@hsr.it Corresponding Author: Mario Leonardo Squadrito. Email: squadrito.mario@hsr.it. [![Twitter URL](https://img.shields.io/twitter/url/https/twitter.com/wouter_decoster.svg?style=social&label=Follow%20%40Mariosqua)](https://x.com/Mariosqua)
GEO: [GSE273615](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE273615) GEO: [GSE273615](https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE273615)
ENA: [PRJEB78386](https://www.ebi.ac.uk/ena/browser/view/PRJEB78386) ENA: [PRJEB78386](https://www.ebi.ac.uk/ena/browser/view/PRJEB78386)
...@@ -15,31 +15,27 @@ ENA: [PRJEB78386](https://www.ebi.ac.uk/ena/browser/view/PRJEB78386) ...@@ -15,31 +15,27 @@ ENA: [PRJEB78386](https://www.ebi.ac.uk/ena/browser/view/PRJEB78386)
- environment_singlecell5.yml: contains the conda virtual environment that can be used to install all the dependencies. - environment_singlecell5.yml: contains the conda virtual environment that can be used to install all the dependencies.
- scripts: folder with R scripts used for the analyses - scripts: folder with R scripts used for the analyses
- TAD012 - TAD012
- 001_APCs.analysis_liver_12_FINAL_MM.R - 001_TAD012_APCs_analysis_liver.R
- 002_Liver_Tetramer_and_CD4_GSEA_DOTPLOT_12_Final_MM.R - 002_TAD012_Liver_Tetramer_and_CD4_GSEA_DOTPLOT.R
- TAD018 - TAD018
- 001_liver_tumor_APCs_MLS_dotplotstellari_radarplot_FINAL_MM.R - 001_TAD018_liver_tumor_APCs_MLS_dotplotstellari_radarplot.R
- 002_Liver_Tumor_TNK_dotplot_radar_GSEA_FINAL_MM.R - 002_TAD018_Liver_Tumor_TNK_dotplot_radar_GSEA.R
- 003_Alluvial.plot_FINAL_MM.R - 003_TAD018_Alluvial_plot.R
- TAD019 - TAD019
- 000_subsetting.R - 001_TAD019_APCs_analysis.R
- 001_APCs.merged_analysis_19_FINAL_MM.R - 002_TAD019_TandNK_analysis.R
- 002_TandNK.merged_analysis_19_FINAL_MM.R - 003_TAD019_Multinichnet_Tumor.R
- 003_Multinichnet_Tumor_TAD19_MM.R
- Vizgen - Vizgen
- heatmap_transcript_distance_simplified.R - Vizgen_transcript_distance_heatmap.R
- Vizgen_transcript_distance.R - Vizgen_transcript_distance.R
- Others - Others
- plot_stellare_function.R - plot_stellare_function.R
- seurat_init.R: seurat analysis pipeline part 1;
- seurat_final.R: seurat analysis pipeline part 2;
- useful_functions.R: contains functions for UMAP, featureplots, Violin plots;
- data: results of the analyses - data: results of the analyses
- plots - plots
- tables - tables
- reference - reference
- regev_lab_cell_cycle_mouse.rds: contains the genes involved in the cell cycle in mouse - regev_lab_cell_cycle_mouse.rds: contains the genes involved in the cell cycle in mouse
- GSEA: reference files for GSEA analysis - miDB_sig4.MLS.rds: reference files for GSEA analysis
## scRNAseq analysis ## scRNAseq analysis
The initial preprocessing of the data, including mapping against the _Mus musculus_ GRCm38 reference genome and gene counting, was done using the 10x Genomics Cell Ranger Software (v7.2.0) using default parameters. The resulting data were imported into R and analyzed with the Seurat package (v5.0.1). The initial preprocessing of the data, including mapping against the _Mus musculus_ GRCm38 reference genome and gene counting, was done using the 10x Genomics Cell Ranger Software (v7.2.0) using default parameters. The resulting data were imported into R and analyzed with the Seurat package (v5.0.1).
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