ChromaX: a fast and scalable breeding program simulator

Bioinformatics. 2023 Dec 1;39(12):btad691. doi: 10.1093/bioinformatics/btad691.

Abstract

Summary: ChromaX is a Python library that enables the simulation of genetic recombination, genomic estimated breeding value calculations, and selection processes. By utilizing GPU processing, it can perform these simulations up to two orders of magnitude faster than existing tools with standard hardware. This offers breeders and scientists new opportunities to simulate genetic gain and optimize breeding schemes.

Availability and implementation: The documentation is available at https://chromax.readthedocs.io. The code is available at https://github.com/kora-labs/chromax.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computer Simulation
  • Gene Library
  • Genome
  • Genomics*
  • Software*