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https://github.com/clinical-genomics-umea/stats_16s_metagenomic

https://github.com/clinical-genomics-umea/stats_16s_metagenomic

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (1.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: Clinical-Genomics-Umea
  • Language: Python
  • Default Branch: main
  • Size: 194 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 3 years ago · Last pushed about 2 years ago
Metadata Files
Readme

README.md

stats16Smetagenomic

Statistical analyses as implemented after the Lulu curation in https://github.com/Clinical-Genomics-Umea/nf16Smetagen

Create conda environment :

``` mamba env create -n stats16Smetagen -f environment.yml

```

Owner

  • Name: Clinical-Genomics-Umea
  • Login: Clinical-Genomics-Umea
  • Kind: organization

GitHub Events

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Dependencies

environment.yml pypi
  • aiobotocore ==2.4.2
  • aiohttp ==3.8.4
  • aioitertools ==0.11.0
  • aiosignal ==1.3.1
  • astroid ==2.15.4
  • asttokens ==2.2.1
  • async-timeout ==4.0.2
  • attrs ==22.2.0
  • backcall ==0.2.0
  • biom-format ==2.1.14
  • boto ==2.49.0
  • botocore ==1.27.59
  • cachecontrol ==0.12.11
  • certifi ==2022.12.7
  • cffi ==1.15.1
  • charset-normalizer ==3.1.0
  • click ==8.1.3
  • cliffs-delta ==1.0.0
  • colorcet ==3.0.1
  • contourpy ==1.0.7
  • cycler ==0.11.0
  • cython ==0.29.33
  • decorator ==5.1.1
  • dill ==0.3.6
  • ecopy ==0.1.2.2
  • executing ==1.2.0
  • fonttools ==4.38.0
  • frozenlist ==1.3.3
  • fsspec ==2023.3.0
  • h5py ==3.8.0
  • hdmedians ==0.14.2
  • idna ==3.4
  • igraph ==0.10.3
  • imbalanced-learn ==0.10.1
  • imblearn ==0.0
  • ipython ==8.11.0
  • isort ==5.12.0
  • jedi ==0.18.2
  • jinja2 ==3.1.2
  • jmespath ==1.0.1
  • joblib ==1.2.0
  • kiwisolver ==1.4.4
  • lazy-object-proxy ==1.9.0
  • lockfile ==0.12.2
  • markupsafe ==2.1.2
  • matplotlib ==3.6.3
  • matplotlib-inline ==0.1.6
  • mccabe ==0.7.0
  • msgpack ==1.0.5
  • multidict ==6.0.4
  • natsort ==8.3.1
  • numpy ==1.24.1
  • packaging ==23.0
  • pandas ==1.5.2
  • param ==1.13.0
  • parso ==0.8.3
  • patsy ==0.5.3
  • pexpect ==4.8.0
  • pickleshare ==0.7.5
  • pillow ==9.4.0
  • platformdirs ==3.5.0
  • polars ==0.15.15
  • prompt-toolkit ==3.0.38
  • ptyprocess ==0.7.0
  • pure-eval ==0.2.2
  • pycparser ==2.21
  • pyct ==0.5.0
  • pygments ==2.14.0
  • pyparsing ==3.0.9
  • python-dateutil ==2.8.2
  • pytz ==2022.7.1
  • pytz-deprecation-shim ==0.1.0.post0
  • requests ==2.28.2
  • rpy2 ==3.5.8
  • s3fs ==2023.3.0
  • scikit-bio ==0.5.8
  • scikit-learn ==1.2.0
  • scipy ==1.10.0
  • seaborn ==0.12.2
  • six ==1.16.0
  • stack-data ==0.6.2
  • texttable ==1.6.7
  • threadpoolctl ==3.1.0
  • tomli ==2.0.1
  • tomlkit ==0.11.8
  • traitlets ==5.9.0
  • typing-extensions ==4.4.0
  • tzdata ==2022.7
  • tzlocal ==4.2
  • urllib3 ==1.26.15
  • wcwidth ==0.2.6
  • wrapt ==1.15.0
  • xgboost ==1.7.5
  • yarl ==1.8.2