Fast and optimal genome segmentation with Bayesian blocks
Fast, mathematically optimal genome segmentation with Bayesian blocks
pip install blockify
The earliest production-ready version of blockify is 0.1.2.
Blockify is available as both a Python library and a command line executable.
To use in Python:
from blockify import annotation from blockify import segmentation from blockify import normalization from blockify import downsampling
To use from the command line:
For more details, please see the documentation.
To actively develop blockify, clone from GitHub and switch to the development branch:
git clone https://github.com/arnavm/blockify.git cd blockify git checkout dev
Unit tests are available from the top-level directory:
python -m unittest tests.test_basic
Two batteries of tests are provided:
tests.test_advanced. For routine development, the basic set of tests
should be sufficient. The advanced suite takes much more time and
fetches several large datasets. It is best used when making major
changes to the code.
Not to be confused with the similarly-named Spotify plugin.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.