ChromaX: a fast and scalable breeding program simulator
Abstract
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.
Download full text in pdf format
Published as:
O. G. Younis,
M. Turchetta,
D. A. Suarez,
S. Yates,
B. Studer,
I. N. Athanasiadis,
A. Krause,
J. M. Buhmann,
L. Corinzia,
ChromaX: a fast and scalable breeding program simulator,
Bioinformatics, 39(12):btad691,
2023, doi:10.1093/bioinformatics/btad691.
You might also enjoy (View all publications)
- CY-Bench: A comprehensive benchmark dataset for sub-national crop yield forecasting
- Fully automatic extraction of morphological traits from the Web: utopia or reality?
- Transdisciplinary coordination is essential for advancing agricultural modeling with machine learning