Skip to main content

A program to analyse and correct for the usefulness of amplicon sequences

Project description

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.

Project details


Download files

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

Source Distribution

ribdif-1.1.3.tar.gz (26.3 kB view hashes)

Uploaded Source

Built Distribution

ribdif-1.1.3-py3-none-any.whl (32.4 kB view hashes)

Uploaded Python 3

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