MungeSumstats is now available via ghcr.io as a containerised environment with Rstudio and all necessary dependencies pre-installed.
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
<your_password>
above with whatever you want your password to be.-v
flags for your particular use case.-d
ensures the container will run in “detached” mode,
which means it will persist even after you’ve closed your command line session.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.
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.
utils::sessionInfo()
## R version 4.4.1 (2024-06-14)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 22.04.4 LTS
##
## Matrix products: default
## BLAS: /home/biocbuild/bbs-3.19-bioc/R/lib/libRblas.so
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.10.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=en_GB LC_COLLATE=C
## [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
##
## time zone: America/New_York
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] MungeSumstats_1.12.2 BiocStyle_2.32.1
##
## loaded via a namespace (and not attached):
## [1] tidyselect_1.2.1
## [2] dplyr_1.1.4
## [3] blob_1.2.4
## [4] R.utils_2.12.3
## [5] Biostrings_2.72.1
## [6] bitops_1.0-8
## [7] fastmap_1.2.0
## [8] RCurl_1.98-1.16
## [9] VariantAnnotation_1.50.0
## [10] GenomicAlignments_1.40.0
## [11] XML_3.99-0.17
## [12] digest_0.6.36
## [13] lifecycle_1.0.4
## [14] KEGGREST_1.44.1
## [15] RSQLite_2.3.7
## [16] magrittr_2.0.3
## [17] googleAuthR_2.0.2
## [18] compiler_4.4.1
## [19] rlang_1.1.4
## [20] sass_0.4.9
## [21] tools_4.4.1
## [22] utf8_1.2.4
## [23] yaml_2.3.10
## [24] data.table_1.15.4
## [25] rtracklayer_1.64.0
## [26] knitr_1.48
## [27] S4Arrays_1.4.1
## [28] bit_4.0.5
## [29] curl_5.2.1
## [30] DelayedArray_0.30.1
## [31] abind_1.4-5
## [32] BiocParallel_1.38.0
## [33] BiocGenerics_0.50.0
## [34] R.oo_1.26.0
## [35] grid_4.4.1
## [36] stats4_4.4.1
## [37] fansi_1.0.6
## [38] SummarizedExperiment_1.34.0
## [39] cli_3.6.3
## [40] rmarkdown_2.27
## [41] crayon_1.5.3
## [42] generics_0.1.3
## [43] BSgenome.Hsapiens.1000genomes.hs37d5_0.99.1
## [44] httr_1.4.7
## [45] rjson_0.2.21
## [46] DBI_1.2.3
## [47] cachem_1.1.0
## [48] stringr_1.5.1
## [49] zlibbioc_1.50.0
## [50] assertthat_0.2.1
## [51] parallel_4.4.1
## [52] AnnotationDbi_1.66.0
## [53] BiocManager_1.30.23
## [54] XVector_0.44.0
## [55] restfulr_0.0.15
## [56] matrixStats_1.3.0
## [57] vctrs_0.6.5
## [58] Matrix_1.7-0
## [59] jsonlite_1.8.8
## [60] bookdown_0.40
## [61] IRanges_2.38.1
## [62] S4Vectors_0.42.1
## [63] bit64_4.0.5
## [64] GenomicFiles_1.40.0
## [65] GenomicFeatures_1.56.0
## [66] jquerylib_0.1.4
## [67] glue_1.7.0
## [68] codetools_0.2-20
## [69] stringi_1.8.4
## [70] GenomeInfoDb_1.40.1
## [71] BiocIO_1.14.0
## [72] GenomicRanges_1.56.1
## [73] UCSC.utils_1.0.0
## [74] tibble_3.2.1
## [75] pillar_1.9.0
## [76] SNPlocs.Hsapiens.dbSNP155.GRCh37_0.99.24
## [77] htmltools_0.5.8.1
## [78] GenomeInfoDbData_1.2.12
## [79] BSgenome_1.72.0
## [80] R6_2.5.1
## [81] evaluate_0.24.0
## [82] lattice_0.22-6
## [83] Biobase_2.64.0
## [84] R.methodsS3_1.8.2
## [85] png_0.1-8
## [86] Rsamtools_2.20.0
## [87] gargle_1.5.2
## [88] memoise_2.0.1
## [89] bslib_0.8.0
## [90] SparseArray_1.4.8
## [91] xfun_0.46
## [92] fs_1.6.4
## [93] MatrixGenerics_1.16.0
## [94] pkgconfig_2.0.3