Commit a8d1da31 authored by Lara Ianov's avatar Lara Ianov
Browse files

fix readme to refer to Bioc. image as parent image

parent 72909d1f
......@@ -31,7 +31,7 @@ Thus, if you have package dependencies from Bioconductor, it's highly recommende
__NOTE__: As mentioned above, Biconductor containers are released based on Bioconducor releases (`bioconductor/bioconductor_docker:RELEASE_X_Y`), keeping in mind that each bioconductor release is linked to specific R versions. Thus, when choosing a container repository, use the following release history to track down R versions compatible with the Bioconductor releases: https://www.bioconductor.org/about/release-announcements/
The following defines the Dockerfile with Bioconductor release 3.10 (linked to R version 3.6), along with installations (with `BiocManager::install`) for Bioconductor packages `DESeq2` and `pasilla`. I am also adding a few CRAN packages via the standard R install function `install.packages` to simply demonstrate that you can still install any non-bioconductor dependencies in the same form you would normally do without using the Bioconductor base image.
The following defines the Dockerfile with Bioconductor release 3.10 (linked to R version 3.6), along with installations (with `BiocManager::install`) for Bioconductor packages `DESeq2` and `pasilla`. I am also adding a few CRAN packages via the standard R install function `install.packages` to simply demonstrate that you can still install any non-bioconductor dependencies in the same form you would normally do without using the Bioconductor parent image.
```docker
FROM bioconductor/bioconductor_docker:RELEASE_3_10
......@@ -90,4 +90,4 @@ docker push <Your Docker ID>/rstudio_deseq2:3.10
The same container we created in this session is available at: https://hub.docker.com/r/lianov/rstudio_deseq2
## [Continue tutorial to Part 3 - running RStudio containers in HPC with Singularity](https://gitlab.rc.uab.edu/circ_nbi_share/docker_with_r_user_session/intro_docker_rstudio_part3)
\ No newline at end of file
## [Continue tutorial to Part 3 - running RStudio containers in HPC with Singularity](https://gitlab.rc.uab.edu/circ_nbi_share/docker_with_r_user_session/intro_docker_rstudio_part3)
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