orthogene is now available via DockerHub 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 neurogenomicslab/orthogene
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 8787:8787 \
neurogenomicslab/orthogene
<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://neurogenomicslab/orthogene
Finally, launch the containerised Rstudio by entering the following URL in any web browser: http://localhost:8787/
Login using the credentials set during the Installation steps.
utils::sessionInfo()
## R Under development (unstable) (2024-10-21 r87258)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.1 LTS
##
## Matrix products: default
## BLAS: /home/biocbuild/bbs-3.21-bioc/R/lib/libRblas.so
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0
##
## 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] orthogene_1.13.0 BiocStyle_2.35.0
##
## loaded via a namespace (and not attached):
## [1] gtable_0.3.6 babelgene_22.9
## [3] xfun_0.48 bslib_0.8.0
## [5] ggplot2_3.5.1 htmlwidgets_1.6.4
## [7] rstatix_0.7.2 lattice_0.22-6
## [9] vctrs_0.6.5 tools_4.5.0
## [11] generics_0.1.3 yulab.utils_0.1.7
## [13] parallel_4.5.0 tibble_3.2.1
## [15] fansi_1.0.6 pkgconfig_2.0.3
## [17] Matrix_1.7-1 data.table_1.16.2
## [19] homologene_1.4.68.19.3.27 ggplotify_0.1.2
## [21] lifecycle_1.0.4 compiler_4.5.0
## [23] farver_2.1.2 treeio_1.31.0
## [25] munsell_0.5.1 carData_3.0-5
## [27] ggtree_3.15.0 ggfun_0.1.7
## [29] gprofiler2_0.2.3 htmltools_0.5.8.1
## [31] sass_0.4.9 yaml_2.3.10
## [33] lazyeval_0.2.2 plotly_4.10.4
## [35] Formula_1.2-5 pillar_1.9.0
## [37] car_3.1-3 ggpubr_0.6.0
## [39] jquerylib_0.1.4 tidyr_1.3.1
## [41] cachem_1.1.0 grr_0.9.5
## [43] abind_1.4-8 nlme_3.1-166
## [45] tidyselect_1.2.1 aplot_0.2.3
## [47] digest_0.6.37 dplyr_1.1.4
## [49] purrr_1.0.2 bookdown_0.41
## [51] fastmap_1.2.0 grid_4.5.0
## [53] colorspace_2.1-1 cli_3.6.3
## [55] magrittr_2.0.3 patchwork_1.3.0
## [57] utf8_1.2.4 broom_1.0.7
## [59] ape_5.8 scales_1.3.0
## [61] backports_1.5.0 httr_1.4.7
## [63] rmarkdown_2.28 ggsignif_0.6.4
## [65] evaluate_1.0.1 knitr_1.48
## [67] viridisLite_0.4.2 gridGraphics_0.5-1
## [69] rlang_1.1.4 Rcpp_1.0.13
## [71] glue_1.8.0 tidytree_0.4.6
## [73] BiocManager_1.30.25 jsonlite_1.8.9
## [75] R6_2.5.1 fs_1.6.4