by O. G. Younis, M. Turchetta, D. Ariza Suarez, S. Yates, B. Studer, I. N. Athanasiadis, A. Krause, J. M. Buhmann, L. Corinzia

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.

Reference:

ChromaX: a Fast and Scalable Breeding Program Simulator O. G. Younis, M. Turchetta, D. Ariza Suarez, S. Yates, B. Studer, I. N. Athanasiadis, A. Krause, J. M. Buhmann, L. CorinziaIn Bioinformatics, Oxford University Press, volume 39, 2023

Bibtex Entry:

@article{younis2023chromax,
  title={ChromaX: a Fast and Scalable Breeding Program Simulator},
  author={Younis, Omar G and Turchetta, Matteo and Ariza Suarez, Daniel and Yates, Steven and Studer, Bruno and Athanasiadis, Ioannis N and Krause, Andreas and Buhmann, Joachim M and Corinzia, Luca},
  journal={Bioinformatics},
  volume={39},
  year={2023},
  publisher={Oxford University Press}}