Skip to main content

A collection of tools to visualize CAMI profiling outputs

Project description

# CAMIProfilingVisualization A collection of tools to visualize CAMI profiling outputs

# Installation Use conda `bash conda config --add channels defaults conda config --add channels bioconda conda config --add channels conda-forge conda create -c etetoolkit -y -n CAMIViz python=3.7 numpy ete3 seaborn pandas matplotlib biom-format conda activate CAMIViz `

# Example usage `bash python src/profile_to_plot.py -i data/prediction_multi.profile -g data/ground_truth_multi.profile -b test -s sample_0 genus ` This should result in a plot that visually represents the relative abundance of the taxonomic profiles produced by numerous taxonomic profiling methods. An example plot can be found [here](https://github.com/dkoslicki/CAMIProfilingVisualization/blob/master/data/test_tree_genus.png)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

CAMIViz-0.1.1-py3-none-any.whl (10.3 kB view details)

Uploaded Python 3

File details

Details for the file CAMIViz-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: CAMIViz-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 10.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.9.1 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.0 CPython/3.5.2

File hashes

Hashes for CAMIViz-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6e71cd60d54205a04e7acc31151a20cde3183ee456df70f0cf371815b5c05882
MD5 384da3f906a0a4528b2329c3e3384d71
BLAKE2b-256 f889996573895f27488ad08150ee9546e7b4723a50ea89c3ba72e1846e691099

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page