Closed smorabit closed 3 years ago
Hi, Thank you for your feedback!
I guess the error was caused by "gimmemotifs", that is one of the packages used in celloracle because the situation looks similar to this https://github.com/morris-lab/CellOracle/issues/32
Can you please remove gimmemotifs and then, please install it again as follows?
pip uninstall gimmemotifs
and then
conda install gimmemotifs==0.14.4 genomepy==0.8.4
Kenji
Thanks for the help, I was able to install celloracle by installing those versions of gimmemotifs and genomepy. However, initially I did get another installation error which was resolved using this:
conda install ipyvuetify
I am having issues with the r version that's compatible with these packages. If I let conda choose default after installing celloracle, but before the r packages it chooses 3.2.1, which isn't compatible with later R packages needed. I tried 3.6.1, but am having compatibility issues now when trying "install other python libraries"
conda install goatools pyarrow tqdm joblib jupyter gimmemotifs==0.14.4 genomepy==0.8.4
Hi rittman16,
Thank you for your feedback.
Could you please post the error messages you got? I need more information to figure out what is going on.
Also, could you please tell me information about your environment, such as OS, and other python packages installed in your environment? Please tell me the output of conda list
command.
In my understanding, most of the Python packages used by celloracle do not depend on R, so the cause of the error might be something other than the R version. R 3.6 works in my PC.
Also, please let me ask one more question. Are you installing celloracle in a new conda environment? I recommend making a new conda environment for celloracle and start with it to avoid compatibility error.
Hello,
I am following the steps here: https://github.com/morris-lab/CellOracle under the pdf documentation link.
Yes I'm using a new conda environment.
Once I get to 1.1.4 in the documentation I need to install R>=3.5, but conda can't find an R version that satisfies that requirement. It tries to install R 3.2.1 by default. If I try R>=3.5 it says:
Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: / Found conflicts! Looking for incompatible packages.
Here are the results for conda list:
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
_py-xgboost-mutex 2.0 cpu_0 conda-forge
_r-mutex 1.0.1 anacondar_1 conda-forge
abseil-cpp 20200923.3 h9c3ff4c_0 conda-forge
alabaster 0.7.12 py_0 conda-forge
alsa-lib 1.2.3 h516909a_0 conda-forge
anndata 0.7.5 py36h5fab9bb_0 conda-forge
appdirs 1.4.4 pyh9f0ad1d_0 conda-forge
argon2-cffi 20.1.0 py36h8f6f2f9_2 conda-forge
arpack 3.7.0 hdefa2d7_2 conda-forge
arrow-cpp 3.0.0 py36h3d3e26e_10_cpu conda-forge
async_generator 1.10 py_0 conda-forge
attrs 20.3.0 pyhd3deb0d_0 conda-forge
aws-c-cal 0.4.5 h76129ab_8 conda-forge
aws-c-common 0.5.2 h7f98852_0 conda-forge
aws-c-event-stream 0.2.7 h6bac3ce_1 conda-forge
aws-c-io 0.9.1 ha5b09cb_1 conda-forge
aws-checksums 0.1.11 h99e32c3_3 conda-forge
aws-sdk-cpp 1.8.151 hceb1b1e_1 conda-forge
babel 2.9.0 pyhd3deb0d_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.3 pyhd8ed1ab_0 conda-forge
bedtools 2.30.0 h7d7f7ad_1 bioconda
biopython 1.78 py36h8f6f2f9_2 conda-forge
bleach 3.3.0 pyh44b312d_0 conda-forge
blosc 1.21.0 h9c3ff4c_0 conda-forge
boltons 20.2.1 pyh9f0ad1d_0 conda-forge
boost-cpp 1.70.0 h8e57a91_2 conda-forge
brotli 1.0.9 h9c3ff4c_4 conda-forge
brotlipy 0.7.0 py36h8f6f2f9_1001 conda-forge
bucketcache 0.12.1 py36h9f0ad1d_2 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.17.1 h7f98852_1 conda-forge
ca-certificates 2020.12.5 ha878542_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
cairo 1.16.0 hcf35c78_1003 conda-forge
celloracle 0.6.5 pypi_0 pypi
certifi 2020.12.5 py36h5fab9bb_1 conda-forge
cffi 1.14.4 py36h211aa47_0 conda-forge
chardet 4.0.0 py36h5fab9bb_1 conda-forge
click 7.1.2 pyh9f0ad1d_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
configparser 5.0.2 pyhd8ed1ab_0 conda-forge
cryptography 3.4.7 py36hb60f036_0 conda-forge
cycler 0.10.0 py_2 conda-forge
cython 0.29.22 py36hc4f0c31_0 conda-forge
dbus 1.13.6 hfdff14a_1 conda-forge
decorator 5.0.3 pyhd8ed1ab_0 conda-forge
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dinamo 1.0 h78a066a_0 bioconda
diskcache 5.2.1 pyh44b312d_0 conda-forge
docopt 0.6.2 pypi_0 pypi
docutils 0.16 py36h5fab9bb_3 conda-forge
entrypoints 0.3 pyhd8ed1ab_1003 conda-forge
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fa2 0.3.5 pypi_0 pypi
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get_version 2.1 py_1 conda-forge
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gflags 2.2.2 he1b5a44_1004 conda-forge
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giflib 5.2.1 h36c2ea0_2 conda-forge
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glib 2.66.3 h58526e2_0 conda-forge
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homer 4.11 pl5262h7d875b9_4 bioconda
icu 64.2 he1b5a44_1 conda-forge
idna 2.10 pyh9f0ad1d_0 conda-forge
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qt 5.9.7 h0c104cb_3 conda-forge
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r-base 3.2.2 0
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readline 8.0 he28a2e2_2 conda-forge
represent 1.6.0 py36h8c4c3a4_2 conda-forge
requests 2.25.1 pyhd3deb0d_0 conda-forge
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tabix 0.2.6 ha92aebf_0 bioconda
tbb 2020.2 h4bd325d_4 conda-forge
terminado 0.9.4 py36h5fab9bb_0 conda-forge
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threadpoolctl 2.1.0 pyh5ca1d4c_0 conda-forge
tk 8.6.10 h21135ba_1 conda-forge
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tornado 6.1 py36h8f6f2f9_1 conda-forge
tqdm 4.59.0 pyhd8ed1ab_0 conda-forge
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trawler 2.0 hdfd78af_4 bioconda
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ucsc-bedtogenepred 377 h0b8a92a_2 bioconda
ucsc-bigbedtobed 377 h0b8a92a_2 bioconda
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ucsc-genepredtogtf 377 h0b8a92a_4 bioconda
ucsc-gff3togenepred 377 h0b8a92a_2 bioconda
ucsc-gtftogenepred 377 h0b8a92a_4 bioconda
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weeder 2.0 h7d875b9_5 bioconda
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widgetsnbextension 3.5.1 py36h5fab9bb_4 conda-forge
xdg 5.0.1 pyhd8ed1ab_0 conda-forge
xgboost 1.3.3 py36h5fab9bb_2 conda-forge
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xorg-libxi 1.7.10 h516909a_0 conda-forge
xorg-libxpm 3.5.13 h516909a_0 conda-forge
xorg-libxrender 0.9.10 h516909a_1002 conda-forge
xorg-libxt 1.1.5 h516909a_1003 conda-forge
xorg-libxtst 1.2.3 h516909a_1002 conda-forge
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xorg-xproto 7.0.31 h7f98852_1007 conda-forge
xxhash 0.8.0 h7f98852_3 conda-forge
xxmotif 1.6 h2d50403_2 bioconda
xz 5.2.5 h516909a_1 conda-forge
yaml 0.2.5 h516909a_0 conda-forge
zeromq 4.3.4 h9c3ff4c_0 conda-forge
zipp 3.4.1 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h516909a_1010 conda-forge
zstd 1.4.9 ha95c52a_0 conda-forge
Although we recommended using conda for python package installation, it is not the case for R. Please try to install R in another way.
For example, you can download and install R from CRAN. https://cran.r-project.org Also, please make sure to uninstall your R in the celloracle's conda environment.
I'm sorry that this point was not clear in our documentation. We will update our documantation soon.
Hi,
I have been trying to install CellOracle using the instructions here. All of the dependencies installed without a problem, but when I tried to run
pip install git+https://github.com/morris-lab/CellOracle.git
, I got an error message that I do not know how to resolve:I would greatly appreciate your help in resolving this as I was really interested to use CellOracle!
Thanks, Sam