ResynPy: a software for selecting pairs of complementary inbred lines to resynthesize valuable heterozygous genotypes

ResynPy is a software developed in Python language and is freely available on GitHub (HYPERLINK " https://github.com/kostasgalexiou/ResynPy/tree/main "). ResynPy automates the process of individual selection implemented by the Resynthesis method, in a highly efficient manner through parallelization, allowing to plant breeders for detection of pairs of complementary individuals in a selfing population that could be suitable parents to a plant variety with economically important agronomic traits. With ResynPy, breeders are provided with a fast and easy-to-use tool that will aid them to advance their plant breeding programs.

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Publication Details

Journal
BMC Bioinformatics
Published
2025-10-28
DOI
https://doi.org/10.1186/s12859-025-06279-x
Primary Topic
Berry genetics and cultivation research
Type
article
Field-Weighted Citation Impact
0.00

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article

ResynPy: a software for selecting pairs of complementary inbred lines to resynthesize valuable heterozygous genotypes

Pere Arús, Konstantinos G. Alexiou, Iban Eduardo
BMC Bioinformatics
Berry genetics and cultivation research
article

ResynPy: a software for selecting pairs of complementary inbred lines to resynthesize valuable heterozygous genotypes

Pere Arús, Konstantinos G. Alexiou, Iban Eduardo
article en

Abstract

ResynPy is a software developed in Python language and is freely available on GitHub (HYPERLINK " https://github.com/kostasgalexiou/ResynPy/tree/main "). ResynPy automates the process of individual selection implemented by the Resynthesis method, in a highly efficient manner through parallelization, allowing to plant breeders for detection of pairs of complementary individuals in a selfing population that could be suitable parents to a plant variety with economically important agronomic traits. With ResynPy, breeders are provided with a fast and easy-to-use tool that will aid them to advance their plant breeding programs.

BMC BioinformaticsVol. 26(1)
Center for Research in Agricultural Genomics (ES)
Centres de Recerca de Catalunya, Generalitat de Catalunya, European Regional Development Fund, Agencia Estatal de Investigación
Openalex Percentile: Top 77%
Berry genetics and cultivation research
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