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 version 4.1.3 (2022-03-10)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 20.04.4 LTS
##
## Matrix products: default
## BLAS: /home/biocbuild/bbs-3.14-bioc/R/lib/libRblas.so
## LAPACK: /home/biocbuild/bbs-3.14-bioc/R/lib/libRlapack.so
##
## 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
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] orthogene_1.0.2 BiocStyle_2.22.0
##
## loaded via a namespace (and not attached):
## [1] tidyselect_1.1.2 xfun_0.30
## [3] bslib_0.3.1 purrr_0.3.4
## [5] lattice_0.20-45 carData_3.0-5
## [7] gprofiler2_0.2.1 colorspace_2.0-3
## [9] vctrs_0.4.0 generics_0.1.2
## [11] viridisLite_0.4.0 htmltools_0.5.2
## [13] yaml_2.3.5 plotly_4.10.0
## [15] utf8_1.2.2 rlang_1.0.2
## [17] jquerylib_0.1.4 pillar_1.7.0
## [19] ggpubr_0.4.0 glue_1.6.2
## [21] DBI_1.1.2 GenomeInfoDbData_1.2.7
## [23] lifecycle_1.0.1 stringr_1.4.0
## [25] munsell_0.5.0 ggsignif_0.6.3
## [27] gtable_0.3.0 htmlwidgets_1.5.4
## [29] evaluate_0.15 knitr_1.38
## [31] fastmap_1.1.0 parallel_4.1.3
## [33] fansi_1.0.3 broom_0.7.12
## [35] backports_1.4.1 scales_1.1.1
## [37] BiocManager_1.30.16 jsonlite_1.8.0
## [39] abind_1.4-5 babelgene_22.3
## [41] ggplot2_3.3.5 digest_0.6.29
## [43] stringi_1.7.6 bookdown_0.25
## [45] rstatix_0.7.0 dplyr_1.0.8
## [47] grid_4.1.3 cli_3.2.0
## [49] tools_4.1.3 magrittr_2.0.3
## [51] sass_0.4.1 patchwork_1.1.1
## [53] lazyeval_0.2.2 tibble_3.1.6
## [55] car_3.0-12 tidyr_1.2.0
## [57] crayon_1.5.1 pkgconfig_2.0.3
## [59] ellipsis_0.3.2 Matrix_1.4-1
## [61] homologene_1.4.68.19.3.27 data.table_1.14.2
## [63] httr_1.4.2 assertthat_0.2.1
## [65] rmarkdown_2.13 R6_2.5.1
## [67] compiler_4.1.3