Contents

1 Installation

MungeSumstats is now available via ghcr.io as a containerised environment with Rstudio and all necessary dependencies pre-installed.

1.1 Method 1: via Docker

First, install Docker if you have not already.

Create an image of the Docker container in command line:

docker pull ghcr.io/neurogenomics/MungeSumstats

Once the image has been created, you can launch it with:

docker run \
  -d \
  -e ROOT=true \
  -e PASSWORD="<your_password>" \
  -v ~/Desktop:/Desktop \
  -v /Volumes:/Volumes \
  -p 8900:8787 \
  ghcr.io/neurogenomics/MungeSumstats

1.1.1 NOTES

  • Make sure to replace <your_password> above with whatever you want your password to be.
  • Change the paths supplied to the -v flags for your particular use case.
  • The -d ensures the container will run in “detached” mode, which means it will persist even after you’ve closed your command line session.
  • The username will be “rstudio” by default.
  • Optionally, you can also install the Docker Desktop to easily manage your containers.

1.2 Method 2: via Singularity

If you are using a system that does not allow Docker (as is the case for many institutional computing clusters), you can instead install Docker images via Singularity.

singularity pull docker://ghcr.io/neurogenomics/MungeSumstats

For troubleshooting, see the Singularity documentation.

2 Usage

Finally, launch the containerised Rstudio by entering the following URL in any web browser: http://localhost:8900/

Login using the credentials set during the Installation steps.

3 Session Info

utils::sessionInfo()
## R version 4.5.0 Patched (2025-04-21 r88169)
## Platform: aarch64-apple-darwin20
## Running under: macOS Ventura 13.7.1
## 
## Matrix products: default
## BLAS:   /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRblas.0.dylib 
## LAPACK: /Library/Frameworks/R.framework/Versions/4.5-arm64/Resources/lib/libRlapack.dylib;  LAPACK version 3.12.1
## 
## locale:
## [1] C/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
## 
## time zone: America/New_York
## tzcode source: internal
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
## [1] MungeSumstats_1.17.0 BiocStyle_2.37.0    
## 
## loaded via a namespace (and not attached):
##  [1] KEGGREST_1.49.0                            
##  [2] SummarizedExperiment_1.39.0                
##  [3] rjson_0.2.23                               
##  [4] xfun_0.52                                  
##  [5] bslib_0.9.0                                
##  [6] Biobase_2.69.0                             
##  [7] lattice_0.22-7                             
##  [8] vctrs_0.6.5                                
##  [9] tools_4.5.0                                
## [10] bitops_1.0-9                               
## [11] generics_0.1.3                             
## [12] stats4_4.5.0                               
## [13] curl_6.2.2                                 
## [14] parallel_4.5.0                             
## [15] BSgenome.Hsapiens.1000genomes.hs37d5_0.99.1
## [16] tibble_3.2.1                               
## [17] AnnotationDbi_1.71.0                       
## [18] RSQLite_2.3.9                              
## [19] blob_1.2.4                                 
## [20] pkgconfig_2.0.3                            
## [21] R.oo_1.27.0                                
## [22] Matrix_1.7-3                               
## [23] data.table_1.17.0                          
## [24] BSgenome_1.77.0                            
## [25] S4Vectors_0.47.0                           
## [26] lifecycle_1.0.4                            
## [27] stringr_1.5.1                              
## [28] compiler_4.5.0                             
## [29] Rsamtools_2.25.0                           
## [30] Biostrings_2.77.0                          
## [31] GenomicFiles_1.45.0                        
## [32] codetools_0.2-20                           
## [33] GenomeInfoDb_1.45.3                        
## [34] htmltools_0.5.8.1                          
## [35] sass_0.4.10                                
## [36] RCurl_1.98-1.17                            
## [37] yaml_2.3.10                                
## [38] pillar_1.10.2                              
## [39] crayon_1.5.3                               
## [40] jquerylib_0.1.4                            
## [41] R.utils_2.13.0                             
## [42] BiocParallel_1.43.0                        
## [43] cachem_1.1.0                               
## [44] DelayedArray_0.35.1                        
## [45] abind_1.4-8                                
## [46] tidyselect_1.2.1                           
## [47] digest_0.6.37                              
## [48] stringi_1.8.7                              
## [49] dplyr_1.1.4                                
## [50] restfulr_0.0.15                            
## [51] bookdown_0.43                              
## [52] VariantAnnotation_1.55.0                   
## [53] fastmap_1.2.0                              
## [54] grid_4.5.0                                 
## [55] cli_3.6.5                                  
## [56] SparseArray_1.9.0                          
## [57] magrittr_2.0.3                             
## [58] S4Arrays_1.9.0                             
## [59] GenomicFeatures_1.61.0                     
## [60] XML_3.99-0.18                              
## [61] UCSC.utils_1.5.0                           
## [62] bit64_4.6.0-1                              
## [63] rmarkdown_2.29                             
## [64] XVector_0.49.0                             
## [65] httr_1.4.7                                 
## [66] matrixStats_1.5.0                          
## [67] bit_4.6.0                                  
## [68] SNPlocs.Hsapiens.dbSNP155.GRCh37_0.99.24   
## [69] png_0.1-8                                  
## [70] R.methodsS3_1.8.2                          
## [71] memoise_2.0.1                              
## [72] evaluate_1.0.3                             
## [73] knitr_1.50                                 
## [74] GenomicRanges_1.61.0                       
## [75] IRanges_2.43.0                             
## [76] BiocIO_1.19.0                              
## [77] rtracklayer_1.69.0                         
## [78] rlang_1.1.6                                
## [79] glue_1.8.0                                 
## [80] DBI_1.2.3                                  
## [81] BiocManager_1.30.25                        
## [82] BiocGenerics_0.55.0                        
## [83] jsonlite_2.0.0                             
## [84] ieugwasr_1.0.3                             
## [85] R6_2.6.1                                   
## [86] MatrixGenerics_1.21.0                      
## [87] GenomicAlignments_1.45.0