DEP package: Problems installing on macOS
2
0
Entering edit mode
jp • 0
@jp-23895
Last seen 4.4 years ago

I am trying to install the DEP package. I tried multiple machines without success. Using

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DEP")

Everything seems to download/install just fine, no error or warnings, but when I call the library I get the following:

> library(DEP)
Error: package or namespace load failed for ‘DEP’ in dyn.load(file, DLLpath = DLLpath, ...):
unable to load shared object '/Library/Frameworks/R.framework/Versions/4.0/Resources/library/gmm/libs/gmm.so':
  dlopen(/Library/Frameworks/R.framework/Versions/4.0/Resources/library/gmm/libs/gmm.so, 6): Library not loaded: /usr/local/gfortran/lib/libgomp.1.dylib
  Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/library/gmm/libs/gmm.so
  Reason: image not found
In addition: Warning message:
In fun(libname, pkgname) :
  mzR has been built against a different Rcpp version (1.0.4.6)
than is installed on your system (1.0.5). This might lead to errors
when loading mzR. If you encounter such issues, please send a report,
including the output of sessionInfo() to the Bioc support forum at
https://support.bioconductor.org/. For details see also
https://github.com/sneumann/mzR/wiki/mzR-Rcpp-compiler-linker-issue.

Here is the system I am on:

> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.5

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base    

loaded via a namespace (and not attached):
[1] Rcpp_1.0.5                  mvtnorm_1.1-1             
 [3] lattice_0.20-41             circlize_0.4.10           
 [5] zoo_1.8-8                   png_0.1-7                 
 [7] assertthat_0.2.1            digest_0.6.25             
 [9] foreach_1.5.0               R6_2.4.1                  
[11] GenomeInfoDb_1.24.2         plyr_1.8.6                
[13] mzID_1.26.0                 stats4_4.0.2              
[15] ggplot2_3.3.2               pillar_1.4.6              
[17] GlobalOptions_0.1.2         zlibbioc_1.34.0           
[19] rlang_0.4.7                 S4Vectors_0.26.1          
[21] GetoptLong_1.0.2            Matrix_1.2-18             
[23] preprocessCore_1.50.0       mzR_2.22.0                
[25] BiocParallel_1.22.0         ProtGenerics_1.20.0       
[27] RCurl_1.98-1.2              munsell_0.5.0             
[29] DelayedArray_0.14.1         compiler_4.0.2            
[31] pkgconfig_2.0.3             BiocGenerics_0.34.0       
[33] shape_1.4.4                 pcaMethods_1.80.0         
[35] tidyselect_1.1.0            SummarizedExperiment_1.18.2
[37] tibble_3.0.3                GenomeInfoDbData_1.2.3    
[39] matrixStats_0.56.0          IRanges_2.22.2            
[41] codetools_0.2-16            XML_3.99-0.4              
[43] crayon_1.3.4                dplyr_1.0.0               
[45] MASS_7.3-51.6               bitops_1.0-6              
[47] grid_4.0.2                  gtable_0.3.0              
[49] lifecycle_0.2.0             affy_1.66.0               
[51] magrittr_1.5                scales_1.1.1              
[53] ncdf4_1.17                  impute_1.62.0             
[55] XVector_0.28.0              affyio_1.58.0             
[57] doParallel_1.0.15           limma_3.44.3              
[59] ellipsis_0.3.1              generics_0.0.2            
[61] vctrs_0.3.2                 sandwich_2.5-1            
[63] rjson_0.2.20                RColorBrewer_1.1-2        
[65] iterators_1.0.12            tools_4.0.2               
[67] Biobase_2.48.0              MSnbase_2.14.2            
[69] glue_1.4.1                  purrr_0.3.4               
[71] parallel_4.0.2              clue_0.3-57               
[73] colorspace_1.4-1            cluster_2.1.0             
[75] BiocManager_1.30.10         vsn_3.56.0                
[77] GenomicRanges_1.40.0        MALDIquant_1.19.3         
[79] ComplexHeatmap_2.4.2

Any advice or suggestions would be appreciated. Thanks

software error DEP proteomics • 3.6k views
ADD COMMENT
0
Entering edit mode
@javan-okendo-22941
Last seen 3.2 years ago
University of Cape Town

Hi,

Where are you running this from? is it on HPC/server?

ADD COMMENT
0
Entering edit mode

Just my local machine: MacBook Pro.

ADD REPLY
0
Entering edit mode
@laurent-gatto-5645
Last seen 1 day ago
Belgium

In your output, there's a warning about mzR that you can ignore, and an error about gmm that seems to be missing. Even though gmm isn't a direct dependency of DEP, DEP is trying to load shared objects from gmm. My suggestion would be to BiocManager::install("gmm") and try again.

ADD COMMENT
0
Entering edit mode

@Laurent thank you for the suggestion. I am not too concerned about the mzR package: mzR has been built against a different Rcpp version (1.0.4.6) than is installed on your system (1.0.5). gmm was installed, to be sure I unistalled and reinstalled following your suggestion.

> BiocManager::install("gmm")
Bioconductor version 3.11 (BiocManager 1.30.10), R 4.0.2 (2020-06-22)
Installing package(s) 'gmm'
trying URL 'https://cran.rstudio.com/bin/macosx/contrib/4.0/gmm_1.6-5.tgz'
Content type 'application/x-gzip' length 1360675 bytes (1.3 MB)
==================================================
downloaded 1.3 MB


The downloaded binary packages are in
    /var/folders/bk/9r7m83613r51cwtpxmmf2nx80000gp/T//RtmpobCU3r/downloaded_packages
> library(gmm)
Loading required package: sandwich
Error: package or namespace load failed for ‘gmm’ in dyn.load(file, DLLpath = DLLpath, ...):
 unable to load shared object '/Library/Frameworks/R.framework/Versions/4.0/Resources/library/gmm/libs/gmm.so':
  dlopen(/Library/Frameworks/R.framework/Versions/4.0/Resources/library/gmm/libs/gmm.so, 6): Library not loaded: /usr/local/gfortran/lib/libgomp.1.dylib
  Referenced from: /Library/Frameworks/R.framework/Versions/4.0/Resources/library/gmm/libs/gmm.so
  Reason: image not found

and received the same error. I checked the path and permission and it looks fine. -rwxr-xr-x 1 jp admin 26K Jul 15 01:02 gmm.so drwxr-xr-x 3 jp admin 96B Jul 15 01:02 gmm.so.dSYM

Any other suggestions?

ADD REPLY
1
Entering edit mode

So the issue clearly lies with gmm.

One suggestion would be to check that you have a working fortran compiler and that you have the libgomp (GCC OpenMP support library) system requirement installed. On a Debian-based system, the latter wound be done with

sudo apt install libgomp1

but I have no idea how to do that on a Mac.

ADD REPLY
0
Entering edit mode

After installing Xcode (via App Store) and GNU Fortan, gmm compiled correctly and so did DEP. Thank you

ADD REPLY

Login before adding your answer.

Traffic: 424 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6