Metadata-Version: 2.1
Name: ribdif
Version: 1.1.2
Summary: A program to analyse and correct for  the usefulness of amplicon sequences
Project-URL: Homepage, https://github.com/Rob-murphys/RibDif2
Project-URL: Bug Tracker, https://github.com/Rob-murphys/RibDif2/issues
Author-email: Robert Murphy <Robert.murphy@bio.ku.dk>
License-File: LICENSE
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.7
Requires-Dist: biopython>=1.80
Requires-Dist: matplotlib>=3.6.2
Requires-Dist: ncbi-genome-download>=0.3.1
Requires-Dist: numpy>=1.24.1
Requires-Dist: pandas>=1.5.2
Requires-Dist: scipy>=1.10.0
Requires-Dist: seaborn>=0.12.2
Description-Content-Type: text/markdown

# RibDif

RibDif evaluates the usefulness of a given amplicon at differentiating within a genus or species

# Installation
Ribdif is most easily installed with pip inside a virtual environment. Make sure your pip version is up to date

conda

`pip install git+https://github.com/Rob-murphys/ribdif.git`

Next we need to install some dependencies:

`conda install -c bioconda vsearch fasttree muscle barrnap -y`

# Running

`ribdif/ribdif -g <some genus name>`

Use `-h` for full options list.






