Metadata-Version: 2.4
Name: bild
Version: 0.1.0
Summary: Bayesian Inference of Looping Dynamics
Author-email: Simon Grosse-Holz <s.grosse.holz@alum.mit.edu>
License-Expression: MIT
Project-URL: Homepage, https://github.com/OpenTrajectoryAnalysis/bild
Project-URL: Documentation, https://bild.readthedocs.org/en/latest
Project-URL: Bug Tracker, https://github.com/OpenTrajectoryAnalysis/bild/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: noctiluca>=0
Requires-Dist: rouse>=0
Requires-Dist: bayesmsd>=0.1
Requires-Dist: numpy>=2
Requires-Dist: scipy>=1.7
Requires-Dist: tqdm>=4
Requires-Dist: matplotlib>=3.4
Dynamic: license-file

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Bayesian Inference of Looping Dynamics (BILD)
=============================================

Implementation of the BILD algorithm[^1] to infer chromatin looping from dual
color particle tracking data. Under construction.

Documentation is hosted at [ReadTheDocs](https://bild.readthedocs.org/en/latest)

[^1]: Gabriele, Brandão, Grosse-Holz, _et al._, __Dynamics of CTCF and cohesin mediated chromatin looping revealed by live-cell imaging__, _Science_ __376__, 2022; [DOI](https://doi.org/10.1126/science.abn6583)
