Comments (5)
And I check now with python=3.7
on Windows10, it does also seem to work:
conda create -c defaults -c conda-forge -c bioconda -n phamb snakemake pygraphviz python=3.7 cython scikit-learn=0.21.3
I added explicitly the list of anaconda channels in search order: -c defaults -c conda-forge -c bioconda
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@joacjo @enryH Thanks for your kindly help!
Yeah, the installation of python=3.6 can work!
conda create -n phamb python=3.6 cython scikit-learn==0.21.3 snakemake pygraphviz
It can work, while "python=3.7" can not work in my CentOS 7.6 system.
Thanks again!
By the way, to my understanding, is this phamb workflow used to identify viral MAGs after binning by Vamb to obtain miscellaneous MAGs?
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Hi Jiulong
Thank you for your interest in the method. I did some experimentation and experienced the same conflicts in the conda installation as you present here. Seems like the required scikit version is not compatible with Python v. 3.8.
Try to give this one a go, python 3.6 should not result in the same conflicts with scikit-learn and worked stable before.
conda create -n phamb python=3.6 cython scikit-learn==0.21.3 snakemake pygraphviz
Let me know if this works out.
Best,
Joachim
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As python 3.6 is out of live, I guess it will be good to see if this can be updated..
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@joacjo @enryH Thanks for your kindly help! Yeah, the installation of python=3.6 can work!
conda create -n phamb python=3.6 cython scikit-learn==0.21.3 snakemake pygraphviz
It can work, while "python=3.7" can not work in my CentOS 7.6 system.Thanks again!
By the way, to my understanding, is this phamb workflow used to identify viral MAGs after binning by Vamb to obtain miscellaneous MAGs?
Great it worked for you Jiulong! I will update the dependency for python 3.6, for now.
As Henry points out, python 3.6 is getting outdated, so we will have to prepare the method for a more recent version of Python.
To your question, Yes phamb workflow requires Vamb clusters.tsv
and is optimised for that binner.
So you will need to run Vamb on a metagenomic dataset in order to employ this method.
Wish you all the best with your research!
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Related Issues (20)
- modified header names in PHAMB HOT 4
- Versioned release package for Phamb HOT 16
- Parsing deepvirfinder line 512, in _parse_dvf_row contig_name, length, score, pvalue = line[:-1].split() HOT 2
- contig length HOT 1
- Update shebang lines in phamb python scripts HOT 2
- High number of bacterial genes in phamb assembled bins HOT 3
- split_contigs.py produces empty files HOT 1
- Can PHAMB output comparable performance on environmental metagenome compared to gut metagenome HOT 1
- split_contigs.py produces empty files HOT 2
- how to evaluate the bin-annotations? HOT 1
- What are the criteria of RF model HOT 2
- The predicted 'viral' number in 'vambbins_RF_predictions.txt' is inconsistent with the actual number in 'vamb_bins.1.fna'? HOT 1
- Binning question, how to use vamb? HOT 7
- 'run_RF.py' operation problem HOT 1
- how to get the file 'clusters.tsv' ?
- VAE or AAE? HOT 1
- How to Run - not in parallel - quick and dirty HOT 1
- interpret the results of RF model
- Can PHAMB be used directly for Virome analysis (enrichment of viral particles followed by sequencing) HOT 2
- category of viruses identified by PHAMB ?
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