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isqg: a binary framework for in silico quantitative genetics

Author: Toledo, F.H.
Author: Perez-Rodriguez, P.
Author: Crossa, J.
Author: Burgueño, J.
Year: 2019
ISSN: 2160-1836 (Print)
Abstract: The dna is the fundamental basis of genetic information, just as bits are for computers. Whenever computers are used to represent genetic data, the computational encoding must be efficient to allow the representation of processes driving the inheritance and variability. This is especially important across simulations in view of the increasing complexity and dimensions brought by genomics. This paper introduces a new binary representation of genetic information. Algorithms as bitwise operations that mimic the inheritance of a wide range of polymorphisms are also presented. Different kinds and mixtures of polymorphisms are discussed and exemplified. Proposed algorithms and data structures were implemented in C++ programming language and is available to end users in the R package “isqg” which is available at the R repository (cran). Supplementary data are available online.
Format: PDF
Language: English
Publisher: Genetics Society of America
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: Bethesda, MD (USA)
Pages: 2425-2428
Issue: 8
Volume: 9
DOI: 10.1534/g3.119.400373
Related Datasets:
Related Datasets:
Journal: G3: Genes, Genomes, Genetics

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  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

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