scikit-genome 0.0.1

A Python package for genomics

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