MOFA2
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bioFAM
`Installation paths not writeable, unable to update packages`
This only seems to an issue when I try to install MOFA2 within a Docker container (using my local Rstudio installation works fine). Though the Docker container has Bioc v3.16 (devel), whereas my local installation has Bioc v3.15 (release), so it's possible this is actually the source of the difference.
Reprex
Create container
Create the MAGMA.Celltyping Docker container (full directions here):
docker pull neurogenomicslab/magma.celltyping
docker run \
-d \
-e ROOT=true \
-e PASSWORD="<your_password>" \
-v ~/Desktop:/Desktop \
-v /Volumes:/Volumes \
-p 8787:8787 \
neurogenomicslab/magma.celltyping
Try to insall MOFA2
Within the Docker container Rstudio instance:
BiocManager::install("MOFA2")
'getOption("repos")' replaces Bioconductor standard repositories, see '?repositories' for details
replacement repositories:
CRAN: https://cloud.r-project.org
Bioconductor version 3.16 (BiocManager 1.30.18), R Under development (unstable) (2022-02-25 r81808)
Installing package(s) 'MOFA2'
Installation paths not writeable, unable to update packages
path: /usr/local/lib/R/library
packages:
cluster, MASS, Matrix, mgcv, nlme, survival
Warning message:
package ‘MOFA2’ is not available for Bioconductor version '3.16'
A version of this package for your version of R might be available elsewhere,
see the ideas at
https://cran.r-project.org/doc/manuals/r-devel/R-admin.html#Installing-packages
Thanks for the great software!
Best, Brian
Session info
R Under development (unstable) (2022-02-25 r81808)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04.3 LTS
Matrix products: default
BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.8.so
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] tidytext_0.3.3 future_1.27.0 sp_1.5-0 SeuratObject_4.1.0 Seurat_4.1.1
[6] dplyr_1.0.9 ggplot2_3.3.6 data.table_1.14.2 MungeSumstats_1.5.9 MAGMA.Celltyping_2.0.6
loaded via a namespace (and not attached):
[1] ica_1.0-3 class_7.3-20 Rsamtools_2.13.3 foreach_1.5.2
[5] lmtest_0.9-40 rprojroot_2.0.3 crayon_1.5.1 spatstat.core_2.4-4
[9] rbibutils_2.2.8 MASS_7.3-58.1 nlme_3.1-159 backports_1.4.1
[13] rlang_1.0.4 XVector_0.37.0 ROCR_1.0-11 readxl_1.4.0
[17] irlba_2.3.5 nloptr_2.0.3 limma_3.53.5 filelock_1.0.2
[21] BiocParallel_1.31.12 rjson_0.2.21 bit64_4.0.5 glue_1.6.2
[25] sctransform_0.3.3 pbkrtest_0.5.1 parallel_4.2.0 spatstat.sparse_2.1-1
[29] AnnotationDbi_1.59.1 BiocGenerics_0.43.1 HGNChelper_0.8.1 isoband_0.2.5
[33] spatstat.geom_2.4-0 tidyselect_1.1.2 SummarizedExperiment_1.27.1 fitdistrplus_1.1-8
[37] variancePartition_1.27.3 XML_3.99-0.10 tidyr_1.2.0 zoo_1.8-10
[41] ggpubr_0.4.0 GenomicAlignments_1.33.1 ontologyIndex_2.7 xtable_1.8-4
[45] magrittr_2.0.3 evaluate_0.16 Rdpack_2.4 cli_3.3.0
[49] zlibbioc_1.43.0 rstudioapi_0.13 miniUI_0.1.1.1 rpart_4.1.16
[53] aod_1.3.2 treeio_1.21.0 maps_3.4.0 shiny_1.7.2
[57] xfun_0.32 cluster_2.1.3 caTools_1.18.2 TSP_1.2-1
[61] GeneOverlap_1.33.0 KEGGREST_1.37.3 tibble_3.1.8 interactiveDisplayBase_1.35.0
[65] expm_0.999-6 ggrepel_0.9.1 ape_5.6-2 listenv_0.8.0
[69] dendextend_1.16.0 Biostrings_2.65.1 png_0.1-7 withr_2.5.0
[73] bitops_1.0-7 plyr_1.8.7 cellranger_1.1.0 phenomix_0.99.4
[77] sparsesvd_0.2 e1071_1.7-11 pillar_1.8.0 gplots_3.1.3
[81] cachem_1.0.6 GenomicFeatures_1.49.5 fs_1.5.2 googleAuthR_2.0.0
[85] vctrs_0.4.1 ellipsis_0.3.2 generics_0.1.3 tools_4.2.0
[89] munsell_0.5.0 proxy_0.4-27 DelayedArray_0.23.1 fastmap_1.1.0
[93] compiler_4.2.0 abind_1.4-5 httpuv_1.6.5 rtracklayer_1.57.0
[97] ExperimentHub_2.5.0 ewceData_1.5.0 DescTools_0.99.45 plotly_4.10.0
[101] rgeos_0.5-9 GenomeInfoDbData_1.2.8 gridExtra_2.3 lattice_0.20-45
[105] deldir_1.0-6 utf8_1.2.2 later_1.3.0 BiocFileCache_2.5.0
[109] jsonlite_1.8.0 tokenizers_0.2.1 scales_1.2.0 gld_2.6.5
[113] tidytree_0.3.9 pbapply_1.5-0 carData_3.0-5 lazyeval_0.2.2
[117] promises_1.2.0.1 car_3.1-0 doParallel_1.0.17 R.utils_2.12.0
[121] goftest_1.2-3 spatstat.utils_2.3-1 reticulate_1.25 rmarkdown_2.14
[125] cowplot_1.1.1 webshot_0.5.3 Rtsne_0.16 dichromat_2.0-0.1
[129] BSgenome_1.65.2 Biobase_2.57.1 uwot_0.1.11 igraph_1.3.4
[133] survival_3.4-0 yaml_2.3.5 htmltools_0.5.3 memoise_2.0.1
[137] VariantAnnotation_1.43.2 BiocIO_1.7.1 seriation_1.3.6 IRanges_2.31.0
[141] here_1.0.1 viridisLite_0.4.0 digest_0.6.29 assertthat_0.2.1
[145] RhpcBLASctl_0.21-247.1 mime_0.12 piggyback_0.1.4 rappdirs_0.3.3
[149] registry_0.5-1 pals_1.7 RSQLite_2.2.15 yulab.utils_0.0.5
[153] future.apply_1.9.0 mapproj_1.2.8 Exact_3.1 orthogene_1.3.1
[157] blob_1.2.3 S4Vectors_0.35.1 R.oo_1.25.0 labeling_0.4.2
[161] splines_4.2.0 AnnotationHub_3.5.0 RCurl_1.98-1.8 broom_1.0.0
[165] hms_1.1.1 gprofiler2_0.2.1 colorspace_2.0-3 BiocManager_1.30.18
[169] GenomicRanges_1.49.0 scNLP_0.1.0 aplot_0.1.6 Rcpp_1.0.9
[173] RANN_2.6.1 mvtnorm_1.1-3 fansi_1.0.3 SnowballC_0.7.0
[177] parallelly_1.32.1 R6_2.5.1 grid_4.2.0 ggridges_0.5.3
[181] lifecycle_1.0.1 rootSolve_1.8.2.3 curl_4.3.2 ggsignif_0.6.3
[185] minqa_1.2.4 leiden_0.4.2 Matrix_1.4-1 RcppAnnoy_0.0.19
[189] org.Hs.eg.db_3.15.0 RColorBrewer_1.1-3 iterators_1.0.14 stringr_1.4.0
[193] htmlwidgets_1.5.4 polyclip_1.10-0 biomaRt_2.53.2 purrr_0.3.4
[197] crosstalk_1.2.0 janeaustenr_0.1.5 gridGraphics_0.5-1 mgcv_1.8-40
[201] globals_0.16.0 lmom_2.9 patchwork_1.1.1 spatstat.random_2.2-0
[205] progressr_0.10.1 codetools_0.2-18 matrixStats_0.62.0 gtools_3.9.3
[209] EWCE_1.5.5 prettyunits_1.1.1 SingleCellExperiment_1.19.0 dbplyr_2.2.1
[213] RSpectra_0.16-1 R.methodsS3_1.8.2 GenomeInfoDb_1.33.5 gtable_0.3.0
[217] DBI_1.1.3 stats4_4.2.0 ggfun_0.0.6 tensor_1.5
[221] httr_1.4.3 KernSmooth_2.23-20 stringi_1.7.8 progress_1.2.2
[225] farver_2.1.1 reshape2_1.4.4 heatmaply_1.3.0 viridis_0.6.2
[229] ggtree_3.5.1 xml2_1.3.3 ggdendro_0.1.23 boot_1.3-28
[233] lme4_1.1-30 restfulr_0.0.15 RNOmni_1.0.0 ggplotify_0.1.0
[237] homologene_1.4.68.19.3.27 scattermore_0.8 BiocVersion_3.16.0 bit_4.0.4
[241] MatrixGenerics_1.9.1 spatstat.data_2.2-0 pkgconfig_2.0.3 babelgene_22.3
[245] gargle_1.2.0 rstatix_0.7.0 knitr_1.39
Does installing other packages work in this setting? Or updating cluster or any other packages listed here?
@gtca Not sure about cluster specifically, but all other packages I've tried install fine.
Just confirmed, all of the dependencies including cluster installed fine, it's just MOFA2 itself that seems to be the issue.
This may have something to do with the fact that MOFA2 is failing to build on Bioc devel/3.16 (which my container uses):
https://www.bioconductor.org/packages/devel/bioc/html/MOFA2.html
Thanks for checking, @bschilder!
That's probably it. You can of course install it straight from GitHub alternatively. Not sure why their build is failing specifically on Linux...
Thanks for checking, @bschilder!
That's probably it. You can of course install it straight from GitHub alternatively. Not sure why their build is failing specifically on Linux...
Thanks, installing from GitHub does indeed work fine in the meantime. Was trying to get it to work with Bioc since I can't have any remote dependencies for the Bioconductor R package I'm making. But by the time I go to submit the package this will probably be fixed anyways.
remotes::install_github("bioFAM/MOFA2")
Looks like just one of the vignettes is failing, so hopefully should be relatively easy to fix.
Great! I can't reproduce their build fail though, we'll try to do something about it if it continues to fail on Linux.