Closed EMDLvdHeijden closed 2 years ago
I am running this exact same code today (a few minutes ago actually, as I am preparing for a lecture) and I am using BigSur 11.6 and did work,
alas but I do know that sometimes things can get out of sync if other packages get installed.
I also tried the following as an alternative and perhaps you can try it yourself:
conda create -n stats -y
conda activate stats
mamba install bioconductor-edger bioconductor-deseq2 r-gplots -y
cat counts.txt | deseq2.r 3x3 > deseq2-results.csv
see if that helps, a brand new environment with minimal dependencies, not even python
if the above does not work, paste here your
conda list
output, I think one of the packages became out of sync and needs updating, ... that would be conda's job actually
Thanks so much for your super quick reply!
Sorry - should have mentioned that I had tried that as well, prior to doing the entire re-install. I tried it again now, but same result.
Here is the output from conda list
in stats:
$ conda list
# packages in environment at /Users/emdlvanderheijden/miniconda3/envs/stats:
#
# Name Version Build Channel
_r-mutex 1.0.1 anacondar_1 conda-forge
bioconductor-annotate 1.72.0 r41hdfd78af_0 bioconda
bioconductor-annotationdbi 1.56.1 r41hdfd78af_0 bioconda
bioconductor-biobase 2.54.0 r41h68a2ddb_0 bioconda
bioconductor-biocgenerics 0.40.0 r41hdfd78af_0 bioconda
bioconductor-biocparallel 1.28.0 r41h832b226_0 bioconda
bioconductor-biostrings 2.62.0 r41h68a2ddb_0 bioconda
bioconductor-delayedarray 0.20.0 r41h68a2ddb_0 bioconda
bioconductor-deseq2 1.34.0 r41h832b226_0 bioconda
bioconductor-edger 3.36.0 r41h832b226_0 bioconda
bioconductor-genefilter 1.76.0 r41hcf7da7f_0 bioconda
bioconductor-geneplotter 1.72.0 r41hdfd78af_0 bioconda
bioconductor-genomeinfodb 1.30.0 r41hdfd78af_0 bioconda
bioconductor-genomeinfodbdata 1.2.7 r41hdfd78af_1 bioconda
bioconductor-genomicranges 1.46.0 r41h68a2ddb_0 bioconda
bioconductor-iranges 2.28.0 r41h68a2ddb_0 bioconda
bioconductor-keggrest 1.34.0 r41hdfd78af_0 bioconda
bioconductor-limma 3.50.0 r41h68a2ddb_0 bioconda
bioconductor-matrixgenerics 1.6.0 r41hdfd78af_0 bioconda
bioconductor-s4vectors 0.32.0 r41h68a2ddb_0 bioconda
bioconductor-summarizedexperiment 1.24.0 r41hdfd78af_0 bioconda
bioconductor-xvector 0.34.0 r41h68a2ddb_0 bioconda
bioconductor-zlibbioc 1.40.0 r41h68a2ddb_0 bioconda
bwidget 1.9.14 h694c41f_1 conda-forge
bzip2 1.0.8 h0d85af4_4 conda-forge
c-ares 1.18.1 h0d85af4_0 conda-forge
ca-certificates 2021.10.8 h033912b_0 conda-forge
cairo 1.16.0 he01c77b_1009 conda-forge
cctools_osx-64 973.0.1 h3e07e27_2 conda-forge
clang 12.0.1 h694c41f_4 conda-forge
clang-12 12.0.1 default_he082bbe_4 conda-forge
clang_osx-64 12.0.1 h633439f_5 conda-forge
clangxx 12.0.1 default_he082bbe_4 conda-forge
clangxx_osx-64 12.0.1 hdb584c0_5 conda-forge
compiler-rt 12.0.1 he01351e_0 conda-forge
compiler-rt_osx-64 12.0.1 hd3f61c9_0 conda-forge
curl 7.80.0 h97da3c1_1 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.13.1 h10f422b_1005 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
freetype 2.10.4 h4cff582_1 conda-forge
fribidi 1.0.10 hbcb3906_0 conda-forge
gettext 0.19.8.1 hd1a6beb_1008 conda-forge
gfortran_impl_osx-64 9.3.0 h9cc0e5e_23 conda-forge
gfortran_osx-64 9.3.0 h18f7dce_15 conda-forge
gmp 6.2.1 h2e338ed_0 conda-forge
graphite2 1.3.13 h2e338ed_1001 conda-forge
gsl 2.7 h93259b0_0 conda-forge
harfbuzz 3.1.2 h447b35c_0 conda-forge
icu 69.1 he49afe7_0 conda-forge
isl 0.22.1 hb1e8313_2 conda-forge
jbig 2.1 h0d85af4_2003 conda-forge
jpeg 9d hbcb3906_0 conda-forge
krb5 1.19.2 h289aae4_3 conda-forge
ld64_osx-64 609 h2487922_2 conda-forge
ldid 2.1.2 h6a69015_3 conda-forge
lerc 3.0 he49afe7_0 conda-forge
libblas 3.9.0 12_osx64_openblas conda-forge
libcblas 3.9.0 12_osx64_openblas conda-forge
libclang-cpp12 12.0.1 default_he082bbe_4 conda-forge
libcurl 7.80.0 h97da3c1_1 conda-forge
libcxx 12.0.1 habf9029_0 conda-forge
libdeflate 1.8 h0d85af4_0 conda-forge
libedit 3.1.20191231 h0678c8f_2 conda-forge
libev 4.33 haf1e3a3_1 conda-forge
libffi 3.4.2 h0d85af4_5 conda-forge
libgfortran 5.0.0 9_3_0_h6c81a4c_23 conda-forge
libgfortran-devel_osx-64 9.3.0 h6c81a4c_23 conda-forge
libgfortran5 9.3.0 h6c81a4c_23 conda-forge
libglib 2.70.1 hf1fb8c0_0 conda-forge
libiconv 1.16 haf1e3a3_0 conda-forge
liblapack 3.9.0 12_osx64_openblas conda-forge
libllvm12 12.0.1 hd011deb_2 conda-forge
libnghttp2 1.43.0 hfd382f3_1 conda-forge
libopenblas 0.3.18 openmp_h3351f45_0 conda-forge
libpng 1.6.37 h7cec526_2 conda-forge
libssh2 1.10.0 hd3787cc_2 conda-forge
libtiff 4.3.0 hd146c10_2 conda-forge
libwebp-base 1.2.1 h0d85af4_0 conda-forge
libxml2 2.9.12 h7e28ab6_1 conda-forge
libzlib 1.2.11 h9173be1_1013 conda-forge
llvm-openmp 12.0.1 hda6cdc1_1 conda-forge
llvm-tools 12.0.1 hd011deb_2 conda-forge
lz4-c 1.9.3 he49afe7_1 conda-forge
make 4.3 h22f3db7_1 conda-forge
mpc 1.2.1 hbb51d92_0 conda-forge
mpfr 4.1.0 h0f52abe_1 conda-forge
ncurses 6.2 h2e338ed_4 conda-forge
openssl 3.0.0 h0d85af4_2 conda-forge
pango 1.48.10 h056538c_2 conda-forge
pcre 8.45 he49afe7_0 conda-forge
pcre2 10.37 ha16e1b2_0 conda-forge
pixman 0.40.0 hbcb3906_0 conda-forge
r-askpass 1.1 r41h28b5c78_2 conda-forge
r-assertthat 0.2.1 r41hc72bb7e_2 conda-forge
r-backports 1.4.0 r41h28b5c78_0 conda-forge
r-base 4.1.1 h2b051ba_2 conda-forge
r-bh 1.75.0_0 r41hc72bb7e_0 conda-forge
r-bit 4.0.4 r41h28b5c78_0 conda-forge
r-bit64 4.0.5 r41h28b5c78_0 conda-forge
r-bitops 1.0_7 r41h28b5c78_0 conda-forge
r-blob 1.2.2 r41hc72bb7e_0 conda-forge
r-brio 1.1.3 r41h28b5c78_0 conda-forge
r-cachem 1.0.6 r41h28b5c78_0 conda-forge
r-callr 3.7.0 r41hc72bb7e_0 conda-forge
r-catools 1.18.2 r41h9951f98_0 conda-forge
r-cli 3.1.0 r41h9951f98_0 conda-forge
r-colorspace 2.0_2 r41h28b5c78_0 conda-forge
r-crayon 1.4.2 r41hc72bb7e_0 conda-forge
r-curl 4.3.2 r41h28b5c78_0 conda-forge
r-dbi 1.1.1 r41hc72bb7e_0 conda-forge
r-desc 1.4.0 r41hc72bb7e_0 conda-forge
r-diffobj 0.3.5 r41h28b5c78_0 conda-forge
r-digest 0.6.29 r41h9951f98_0 conda-forge
r-ellipsis 0.3.2 r41h28b5c78_0 conda-forge
r-evaluate 0.14 r41hc72bb7e_2 conda-forge
r-fansi 0.5.0 r41h28b5c78_0 conda-forge
r-farver 2.1.0 r41h9951f98_0 conda-forge
r-fastmap 1.1.0 r41h9951f98_0 conda-forge
r-formatr 1.11 r41hc72bb7e_0 conda-forge
r-futile.logger 1.4.3 r41hc72bb7e_1003 conda-forge
r-futile.options 1.0.1 r41hc72bb7e_1002 conda-forge
r-ggplot2 3.3.5 r41hc72bb7e_0 conda-forge
r-glue 1.5.1 r41h28b5c78_0 conda-forge
r-gplots 3.1.1 r41hc72bb7e_0 conda-forge
r-gtable 0.3.0 r41hc72bb7e_3 conda-forge
r-gtools 3.9.2 r41h28b5c78_0 conda-forge
r-httr 1.4.2 r41hc72bb7e_0 conda-forge
r-isoband 0.2.5 r41h9951f98_0 conda-forge
r-jsonlite 1.7.2 r41h28b5c78_0 conda-forge
r-kernsmooth 2.23_20 r41he19034d_0 conda-forge
r-labeling 0.4.2 r41hc72bb7e_0 conda-forge
r-lambda.r 1.2.4 r41hc72bb7e_1 conda-forge
r-lattice 0.20_45 r41h28b5c78_0 conda-forge
r-lifecycle 1.0.1 r41hc72bb7e_0 conda-forge
r-locfit 1.5_9.4 r41h28b5c78_1 conda-forge
r-magrittr 2.0.1 r41h28b5c78_1 conda-forge
r-mass 7.3_54 r41h28b5c78_0 conda-forge
r-matrix 1.3_4 r41hc2c5f09_0 conda-forge
r-matrixstats 0.61.0 r41h28b5c78_0 conda-forge
r-memoise 2.0.1 r41hc72bb7e_0 conda-forge
r-mgcv 1.8_38 r41hf27e4f0_0 conda-forge
r-mime 0.12 r41h28b5c78_0 conda-forge
r-munsell 0.5.0 r41hc72bb7e_1003 conda-forge
r-nlme 3.1_153 r41h749f5a1_0 conda-forge
r-openssl 1.4.5 r41hfc1e889_1 conda-forge
r-pillar 1.6.4 r41hc72bb7e_0 conda-forge
r-pkgconfig 2.0.3 r41hc72bb7e_1 conda-forge
r-pkgload 1.2.4 r41h9951f98_0 conda-forge
r-plogr 0.2.0 r41hc72bb7e_1003 conda-forge
r-png 0.1_7 r41h28b5c78_1004 conda-forge
r-praise 1.0.0 r41hc72bb7e_1004 conda-forge
r-processx 3.5.2 r41h28b5c78_0 conda-forge
r-ps 1.6.0 r41h28b5c78_0 conda-forge
r-r6 2.5.1 r41hc72bb7e_0 conda-forge
r-rcolorbrewer 1.1_2 r41h785f33e_1003 conda-forge
r-rcpp 1.0.7 r41h9951f98_0 conda-forge
r-rcpparmadillo 0.10.7.3.0 r41h7190c71_0 conda-forge
r-rcurl 1.98_1.5 r41h28b5c78_0 conda-forge
r-rematch2 2.1.2 r41hc72bb7e_1 conda-forge
r-rlang 0.4.12 r41h28b5c78_0 conda-forge
r-rprojroot 2.0.2 r41hc72bb7e_0 conda-forge
r-rsqlite 2.2.8 r41h9951f98_0 conda-forge
r-rstudioapi 0.13 r41hc72bb7e_0 conda-forge
r-scales 1.1.1 r41hc72bb7e_0 conda-forge
r-snow 0.4_4 r41hc72bb7e_0 conda-forge
r-survival 3.2_13 r41h28b5c78_0 conda-forge
r-sys 3.4 r41h28b5c78_0 conda-forge
r-testthat 3.1.1 r41h9951f98_0 conda-forge
r-tibble 3.1.6 r41h28b5c78_0 conda-forge
r-utf8 1.2.2 r41h28b5c78_0 conda-forge
r-vctrs 0.3.8 r41h28b5c78_1 conda-forge
r-viridislite 0.4.0 r41hc72bb7e_0 conda-forge
r-waldo 0.3.1 r41hc72bb7e_0 conda-forge
r-withr 2.4.3 r41hc72bb7e_0 conda-forge
r-xml 3.99_0.8 r41h28b5c78_0 conda-forge
r-xtable 1.8_4 r41hc72bb7e_3 conda-forge
readline 8.1 h05e3726_0 conda-forge
tapi 1100.0.11 h9ce4665_0 conda-forge
tk 8.6.11 h5dbffcc_1 conda-forge
tktable 2.10 h49f0cf7_3 conda-forge
xz 5.2.5 haf1e3a3_1 conda-forge
zlib 1.2.11 h9173be1_1013 conda-forge
zstd 1.5.0 h582d3a0_0 conda-forge
(stats)
What makes this difficult to troubleshoot is that my environment is just like yours. The error indicates a deeper problem, right there with the R installation itself. The basic dynamic libraries are not found, it is a deep disconnect inside there in the computer.
There is a history of the R tools breaking in conda, for example last year we had this:
https://github.com/bioconda/bioconda-recipes/issues/21084
I think a lot has to do with the new releases for MacOS, and I think in this case the way forward is to upgrade your Mac, Monterey is the new OS.
I would reinstall everything for Monterey.
rm -rf ~/miniconda3
then rerun the installation
Alright thanks, will give that a whirl (probably tomorrow) and revert back to you.
Could a potential problem be that I had both DESeq2 and edgeR already installed through Rstudio? (I would think it shouldn't matter, since we're working specifically in the stats environment - but just exploring options).
I think the two are separate, so it wouldn't affect it
Note that you can easily run my script in Rstudio, very little needs to be changed. Just the input and output file names.
I should actually make this point and perhaps I will provide an RStudio version of the scripts.
Just wanted to give that a quick try. I changed the following:
# Command line argument.
args = commandArgs(trailingOnly=TRUE)
# Input stream.
infile = "stdin"
# Output stream.
outfile = ""
to
# Command line argument.
args = "3x3"
# Input stream.
infile = "counts.txt"
# Output stream.
outfile = "deseq2-results.csv"
and seems to work just fine!
great to know, I will put this into the book in the near future.
Just to let you know I updated my mac to Monterey today and it all straight away worked (without having to do a fresh re-install of everything).
excellent, thanks for letting me know.
I have expanded the RNA Seq setup section to indicate that one could run the scripts in RStudio as well.
I have been following the step-by-step tutorial for RNA-seq, which thus far has been great. Thanks so much for creating this content! It's very useful.
I've now reached the chapter where the differential expression analysis is done using either DESeq2 or EdgeR using these commands:
cat counts.txt | deseq2.r 3x3 > deseq2-results.csv
or
cat counts.txt | edger.r 3x3 > edger-results.csv
However, I am unable to do either. I get the following errors:
Error: package or namespace load failed for 'S4Vectors' in library.dynam(lib, package, package.lib): shared object 'S4Vectors.dylib' not found Error: package 'S4Vectors' could not be loaded Execution halted (stats)
running deseq2.r
or
Error: package or namespace load failed for 'limma': .onLoad failed in loadNamespace() for 'limma', details: call: library.dynam("limma", pkgname, libname) error: shared object 'limma.dylib' not found Error: package 'limma' could not be loaded Execution halted (stats)
running edger.r
I checked various things.
First: am I in the right environment? Yes - I'm in stats. Second: are limma and S4vectors installed? Yes - running
conda list
in the stats environment tells me they are. Third: maybe there is an issue with the basic set-up? Running doctor.py in the bioinfo environment tells me all is OK. Fourth: total re-install of the entire set-up:rm -rf ~/miniconda3
followed bycurl http://data.biostarhandbook.com/install.sh | bash
. Randoctor.py
again in the bioinfo environment (all OK) and a re-install of the stats environment usingconda create --name stats python=3.8 -y
,conda activate stats
andURL=http://data.biostarhandbook.com/books/rnaseq/code/rnaseq-conda.txt
curl $URL | xargs mamba install -y
. I checked whether the installation was correct by just runningdeseq2.r
as suggested and that gives the expected error. Everything looks good up to this point. But I still I get the same issue. So I'm stuck.I'm not really sure what else I can do? Am I missing something or doing something wrong?
I am on MacOSX running Big Sur 11.6.
Thanks in advance.