Open lewhiteside opened 1 year ago
Hi Saskia, I have downloaded Decona with the following commands:
git clone --recurse-submodules https://github.com/Saskia-Oosterbroek/decona.git cd decona git submodule update --init cd install module load apps/anaconda3/2021.05/bin ./install.sh conda activate decona
However when I run the following command:
decona -f -l 300 -m 8000 -q 10 -c 0.80 -n 100 -M -B SILVA_138.1_SSURef_tax_silva.fasta
I get the following error:
ImportError: this version of pandas is incompatible with numpy < 1.20.3 your numpy version is 1.19.2. Please upgrade numpy to >= 1.20.3 to use this pandas version
Any help with this would be greatly appresciated,
conda list
gives:
# Name Version Build Channel _libgcc_mutex 0.1 main _openmp_mutex 5.1 1_gnu _tflow_select 2.3.0 mkl absl-py 1.3.0 py38h06a4308_0 aiohttp 3.8.3 py38h5eee18b_0 aiosignal 1.2.0 pyhd3eb1b0_0 astor 0.8.1 py38h06a4308_0 astunparse 1.6.3 py_0 async-timeout 4.0.2 py38h06a4308_0 attrs 22.1.0 py38h06a4308_0 bcftools 1.10.2 h4f4756c_3 bioconda biopython 1.78 py38h7f8727e_0 blas 1.0 mkl blinker 1.4 py38h06a4308_0 bottleneck 1.3.5 py38h7deecbd_0 brotlipy 0.7.0 py38h27cfd23_1003 bzip2 1.0.8 h7b6447c_0 c-ares 1.18.1 h7f8727e_0 ca-certificates 2022.10.11 h06a4308_0 cachetools 4.2.2 pyhd3eb1b0_0 certifi 2022.12.7 py38h06a4308_0 cffi 1.15.1 py38h74dc2b5_0 charset-normalizer 2.0.4 pyhd3eb1b0_0 click 8.0.4 py38h06a4308_0 cryptography 38.0.1 py38h9ce1e76_0 deprecated 1.2.13 py38h06a4308_0 fftw 3.3.9 h27cfd23_1 frozenlist 1.3.3 py38h5eee18b_0 gast 0.4.0 pyhd3eb1b0_0 gdbm 1.18 hd4cb3f1_4 google-auth 2.6.0 pyhd3eb1b0_0 google-auth-oauthlib 0.4.4 pyhd3eb1b0_0 google-pasta 0.2.0 pyhd3eb1b0_0 grpcio 1.42.0 py38hce63b2e_0 gsl 2.6 ha341630_0 h5py 2.10.0 py38hd6299e0_1 hdf5 1.10.6 h3ffc7dd_1 htslib 1.10.2 hd3b49d5_1 bioconda idna 3.4 py38h06a4308_0 importlib-metadata 4.11.3 py38h06a4308_0 intel-openmp 2021.4.0 h06a4308_3561 intervaltree 3.1.0 pyhd3eb1b0_0 isa-l 2.30.0 ha770c72_4 conda-forge k8 0.2.5 h9a82719_1 bioconda keras-preprocessing 1.1.2 pyhd3eb1b0_0 krb5 1.19.2 hac12032_0 ld_impl_linux-64 2.38 h1181459_1 libcurl 7.86.0 h91b91d3_0 libdeflate 1.6 h516909a_0 conda-forge libedit 3.1.20210714 h7f8727e_0 libev 4.33 h7f8727e_1 libffi 3.3 he6710b0_2 libgcc-ng 11.2.0 h1234567_1 libgfortran-ng 11.2.0 h00389a5_1 libgfortran5 11.2.0 h1234567_1 libgomp 11.2.0 h1234567_1 libiconv 1.16 h7f8727e_2 libnghttp2 1.46.0 hce63b2e_0 libprotobuf 3.20.1 h4ff587b_0 libssh2 1.10.0 h8f2d780_0 libstdcxx-ng 11.2.0 h1234567_1 lz4-c 1.9.4 h6a678d5_0 mappy 2.22 py38h390ddb8_0 bioconda markdown 3.4.1 py38h06a4308_0 markupsafe 2.1.1 py38h7f8727e_0 medaka 1.1.2 py38hfcf0ad1_0 bioconda minimap2 2.17 h5bf99c6_4 bioconda mkl 2021.4.0 h06a4308_640 mkl-service 2.4.0 py38h7f8727e_0 mkl_fft 1.3.1 py38hd3c417c_0 mkl_random 1.2.2 py38h51133e4_0 multidict 6.0.2 py38h5eee18b_0 nanofilt 2.7.1 py_0 bioconda nanoget 1.18.1 pyhdfd78af_0 bioconda nanomath 1.2.1 pyhdfd78af_0 bioconda ncurses 6.2 he6710b0_1 networkx 2.8.4 py38h06a4308_0 numexpr 2.8.4 py38he184ba9_0 numpy 1.19.2 py38h7895c89_1 numpy-base 1.19.2 py38h4c65ebe_1 oauthlib 3.2.1 py38h06a4308_0 ont-fast5-api 4.1.0 pyhdfd78af_0 bioconda openssl 1.1.1s h7f8727e_0 opt_einsum 3.3.0 pyhd3eb1b0_1 packaging 21.3 pyhd3eb1b0_0 pandas 1.5.2 py38h417a72b_0 parasail-python 1.2.4 py38h8e3bb3f_1 bioconda pbzip2 1.1.13 0 conda-forge perl 5.34.0 h5eee18b_2 pigz 2.6 h27cfd23_0 pip 22.3.1 py38h06a4308_0 progressbar33 2.4 py_0 conda-forge protobuf 3.20.1 py38h295c915_0 pyasn1 0.4.8 pyhd3eb1b0_0 pyasn1-modules 0.2.8 py_0 pycparser 2.21 pyhd3eb1b0_0 pyfaidx 0.7.1 pyh5e36f6f_0 bioconda pyjwt 2.4.0 py38h06a4308_0 pyopenssl 22.0.0 pyhd3eb1b0_0 pyparsing 3.0.9 py38h06a4308_0 pysam 0.16.0.1 py38hbdc2ae9_1 bioconda pysocks 1.7.1 py38h06a4308_0 pyspoa 0.0.3 py38h8ded8fe_3 bioconda python 3.8.12 h12debd9_0 python-dateutil 2.8.2 pyhd3eb1b0_0 python-edlib 1.3.9 py38h4a32c8e_1 bioconda python-flatbuffers 2.0 pyhd3eb1b0_0 python-isal 0.11.1 py38h497a2fe_1 conda-forge python_abi 3.8 2_cp38 conda-forge pytz 2022.1 py38h06a4308_0 pyvcf3 1.0.3 pyhdfd78af_0 bioconda pyyaml 6.0 py38h5eee18b_1 qcat 1.1.0 pyh864c0ab_1 bioconda racon 1.4.13 he513fc3_0 bioconda readline 8.1 h27cfd23_0 requests 2.28.1 py38h06a4308_0 requests-oauthlib 1.3.0 py_0 rsa 4.7.2 pyhd3eb1b0_1 samtools 1.10 h2e538c0_3 bioconda scipy 1.9.3 py38h14f4228_0 setuptools 65.5.0 py38h06a4308_0 six 1.16.0 pyhd3eb1b0_1 sortedcontainers 2.4.0 pyhd3eb1b0_0 sqlite 3.40.0 h5082296_0 tar 1.34 ha1f6473_0 conda-forge tensorboard 2.10.0 py38h06a4308_0 tensorboard-data-server 0.6.1 py38h52d8a92_0 tensorboard-plugin-wit 1.8.1 py38h06a4308_0 tensorflow 2.4.1 mkl_py38hb2083e0_0 tensorflow-base 2.4.1 mkl_py38h43e0292_0 tensorflow-estimator 2.6.0 pyh7b7c402_0 termcolor 2.1.0 py38h06a4308_0 tk 8.6.12 h1ccaba5_0 urllib3 1.26.13 py38h06a4308_0 werkzeug 2.2.2 py38h06a4308_0 whatshap 1.1 py38h8c62d01_1 bioconda wheel 0.37.1 pyhd3eb1b0_0 wrapt 1.14.1 py38h5eee18b_0 xopen 1.5.0 py38h578d9bd_0 conda-forge xz 5.2.8 h5eee18b_0 yaml 0.2.5 h7b6447c_0 yarl 1.8.1 py38h5eee18b_0 zipp 3.8.0 py38h06a4308_0 zlib 1.2.13 h5eee18b_0 zstd 1.5.2 ha4553b6_0
you can upgrade numpy by running following line in the linux terminal:
pip install numpy --upgrade
Hi Saskia, I have downloaded Decona with the following commands:
However when I run the following command:
decona -f -l 300 -m 8000 -q 10 -c 0.80 -n 100 -M -B SILVA_138.1_SSURef_tax_silva.fasta
I get the following error:
Any help with this would be greatly appresciated,
conda list
gives: