Skip to main content

Polarize genomes using diem

Project description

diemPy

A Python package for genome polarization and subsequent analyses using the diem (Diagnostic Index for the Expectation Maximization) method [1]

Overview

diemPy is a computational tool designed to polarize genomic data for hybrid zone analysis. The package implements an expectation-maximization (EM) algorithm to determine the optimal polarization of genetic markers, enabling researchers to identify and analyze patterns of introgression and hybridization in genomic datasets.

Key Features

  • VCF processing and format conversion
  • Automated genome polarization using EM algorithm
  • Kernel smoothing and tract length analysis
  • Parallel processing support
  • Flexible I/O for various genomic formats

Documentation

The core concepts, installation, and API documentation can be found here:

📚 Introduction, Installation, and API Documentation

The primary documentation for using diemPy is provided as a self-guided tutorial with an example dataset:

📚 Tutorial

License

This project is licensed under the GPL-3.0 License - see the LICENSE file for details.

Author

Derek Setter, Stuart J.E. Baird

Citation

[1] Baird, S. J. E., Petružela, J., Jaroň, I., Škrabánek, P., & Martínková, N. (2023). Genome polarisation for detecting barriers to geneflow. Methods in Ecology and Evolution, 14, 512–528. https://doi.org/10.1111/2041-210X.14010

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

diempy-1.0.tar.gz (100.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

diempy-1.0-py3-none-any.whl (105.0 kB view details)

Uploaded Python 3

File details

Details for the file diempy-1.0.tar.gz.

File metadata

  • Download URL: diempy-1.0.tar.gz
  • Upload date:
  • Size: 100.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for diempy-1.0.tar.gz
Algorithm Hash digest
SHA256 7c93b7bbccbe26a99afa0bc4747ee1171a2d47e54add4b8b0083c3606d178971
MD5 9c713d3c11b46f31daa335dde959c6f7
BLAKE2b-256 71016585c56d3d6d112bf6a240ec005e668313d96a16e0021c05cc9ae141df6d

See more details on using hashes here.

Provenance

The following attestation bundles were made for diempy-1.0.tar.gz:

Publisher: python-publish.yml on Studenecivb/diemPy

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file diempy-1.0-py3-none-any.whl.

File metadata

  • Download URL: diempy-1.0-py3-none-any.whl
  • Upload date:
  • Size: 105.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for diempy-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1a30e27a38c0a2d441a4e3c4020546a0a985340f4264345ec492ad096bee18b9
MD5 c8cf0fbf936cfb13399a0fafbd01bf69
BLAKE2b-256 2ac055cbd0461a2e95e910e2925640ba1bfe29911ab796b042c07b318745ff4a

See more details on using hashes here.

Provenance

The following attestation bundles were made for diempy-1.0-py3-none-any.whl:

Publisher: python-publish.yml on Studenecivb/diemPy

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page