Fast, mathematically optimal genome segmentation with Bayesian blocks
Installation
pip install blockify
The earliest recommended version of blockify is 0.2.1.
Usage
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:
blockify -h
For more details, please see the documentation.
Development
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_basic and
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.
Disclaimer
Not to be confused with the similarly-named Spotify plugin.
1 maintainer
Metadata
1 maintainer
Release files for blockify 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| blockify-0.2.2.tar.gz | 804.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| blockify-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 824.9 kB
Release files / blockify-0.2.2.tar.gz
| Download URL | blockify-0.2.2.tar.gz |
|---|---|
| Size | 804.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e0519a6927c85c52f1be0cc473d5443bc36709f213f2bd992fec0a573fb5aec9
|
|
BLAKE2b-256 checksum How to use checksums |
8f21d6c384a00782fe8c07b0df53b6d85fb5d4963e93b892bc654ecb600e0fe9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3
|
Release files / blockify-0.2.2-py3-none-any.whl
| Download URL | blockify-0.2.2-py3-none-any.whl |
|---|---|
| Size | 20.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0d7eed868e500bfba850c8e037daa878ae513a0a4f5d70d8d0fb618df5a9b7ed
|
|
BLAKE2b-256 checksum How to use checksums |
97c261d9a58260f483ce1e5f3481c35a2eff32c32697f71c998c4887a3ad4dfe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0.post20200518 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.3
|
Security for blockify 0.2.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
