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ChromaX: a fast and scalable breeding program simulator.

Authors :
Younis, Omar G
Turchetta, Matteo
Suarez, Daniel Ariza
Yates, Steven
Studer, Bruno
Athanasiadis, Ioannis N
Krause, Andreas
Buhmann, Joachim M
Corinzia, Luca
Source :
Bioinformatics; Dec2023, Vol. 39 Issue 12, p1-4, 4p
Publication Year :
2023

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
39
Issue :
12
Database :
Complementary Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
174525883
Full Text :
https://doi.org/10.1093/bioinformatics/btad691