ChromaX: a fast and scalable breeding program simulator

Omar G. Younis; Matteo Turchetta; Daniel Ariza Suarez; Steven Yates; Bruno Studer; Ioannis N. Athanasiadis; Andreas Krause; Joachim M. Buhmann; Luca Corinzia

doi:10.1093/bioinformatics/btad691

ChromaX: a fast and scalable breeding program simulator

Omar G. Younis^*, Matteo Turchetta^*, Daniel Ariza Suarez, Steven Yates, Bruno Studer, Ioannis N. Athanasiadis, Andreas Krause, Joachim M. Buhmann, Luca Corinzia^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

3 Citations (Scopus)

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.

Original language	English
Article number	btad691
Journal	Bioinformatics
Volume	39
Issue number	12
DOIs	https://doi.org/10.1093/bioinformatics/btad691
Publication status	Published - 1 Dec 2023

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10.1093/bioinformatics/btad691Licence: CC BY

https://edepot.wur.nl/645309Licence: CC BY

Cite this

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title = "ChromaX: a fast and scalable breeding program simulator",

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.",

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AU - Turchetta, Matteo

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AU - Studer, Bruno

AU - Athanasiadis, Ioannis N.

AU - Krause, Andreas

AU - Buhmann, Joachim M.

AU - Corinzia, Luca

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AB - 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.

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ChromaX: a fast and scalable breeding program simulator

Abstract

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