Metadata-Version: 2.4
Name: ancIBD
Version: 0.8
Summary: Identify identity-by-descent (IBD) segments between pairs of individuals in human ancient DNA data.
Author-email: Harald Ringbauer <harald_ringbauer@eva.mpg.de>, Yilei Huang <yilei_huang@eva.mpg.de>
Maintainer-email: Harald Ringbauer <harald_ringbauer@eva.mpg.de>
License-Expression: GPL-3.0-or-later
Project-URL: Documentation, https://ancibd.readthedocs.io
Project-URL: Repository, https://github.com/hringbauer/ancIBD
Keywords: IBD,ancient DNA,relatedness,identify by descent segments
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: h5py
Requires-Dist: psutil
Requires-Dist: pysam
Requires-Dist: scikit-allel
Provides-Extra: ne
Requires-Dist: statsmodels; extra == "ne"
Provides-Extra: fig
Requires-Dist: matplotlib; extra == "fig"
Dynamic: license-file

# ancIBD
This Python software package screens ancient human DNA for long IBD blocks (Identity by Descent segments) shared between pairs of individuals.

Please find the official documentation and installation instructions at [the official ancIBD readthedocs page](https://ancibd.readthedocs.io/en/latest/Intro.html).
