A Python package for genomics
Project description
scikit-genome
scikit-genome is a Python package for genomics.
- Essential, efficient algorithms for genomics
- Interoperable with Python’s scientific ecosystem
- Free and open-source
Frequently asked questions (FAQ)
How do I pronounce “scikit-genome?”
sī kit ˈjēˌnōm is the preferred pronunciation.
What’s a “scikit?”
scikit-genome is a SciPy toolkit. It’s compatible with both SciPy toolkits like scikit-learn and NumPy-compatible packages like PyTorch and TensorFlow.
What’s the inclusion criteria for new algorithms?
Maintainers consider only well-established algorithms for inclusion. A minimum of three years since publication, more than 200 citations, and far-reaching usefulness is expected. Methods that provide clear-cut improvements on widely-used algorithms will also be considered.
Methods provided by one of the following maintained, general-purpose packages won’t be considered for inclusion:
- matplotlib
- NumPy
- Pandas
- PyTorch
- scikit-image
- scikit-learn
- SciPy
- statsmodels
- TensorFlow
Do you support PyPy?
Yes
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for scikit_genome-0.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 615f95ffdf0f0f2baf7a5759a5d8d63f3f9c8ca446cdac58319cf350d7afad1a |
|
MD5 | cfabb38b53f9da420c3aa908ce17d422 |
|
BLAKE2b-256 | 5357d10e687cf230d28a84e7a91ba896d80eb720fd6baada5c435cf3a8245c2a |