candYgene: enabling precision breeding through FAIR Data

A. Kuzniar; A.K. Gavai; L.O. Ridder; L.O. Bonino da Silva Santos; G. Singh; R.G.F. Visser; H.J. Finkers

doi:10.5281/zenodo.30554

candYgene: enabling precision breeding through FAIR Data

A. Kuzniar, A.K. Gavai, L.O. Ridder, L.O. Bonino da Silva Santos, G. Singh, R.G.F. Visser, H.J. Finkers

Research output: Contribution to conference › Abstract

Abstract

Genetics research is focusing more and more on mining fully sequenced genomes and their annotations to identify the causal genes associated with specific traits (phenotypes) of interest. However, a complex trait is typically associated with multiple quantitative trait loci (QTLs), each with hundreds of genes positively/negatively affecting the desired trait(s). Our aim is to develop a Big data analytics & semantic interoperability infrastructure for candidate gene prioritization that will aid breeders in the design of an optimal genotype with a desired trait(s) for a given environment.

Original language	English
DOIs	https://doi.org/10.5281/zenodo.30554
Publication status	Published - 2015

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title = "candYgene: enabling precision breeding through FAIR Data",

abstract = "Genetics research is focusing more and more on mining fully sequenced genomes and their annotations to identify the causal genes associated with specific traits (phenotypes) of interest. However, a complex trait is typically associated with multiple quantitative trait loci (QTLs), each with hundreds of genes positively/negatively affecting the desired trait(s). Our aim is to develop a Big data analytics & semantic interoperability infrastructure for candidate gene prioritization that will aid breeders in the design of an optimal genotype with a desired trait(s) for a given environment.",

author = "A. Kuzniar and A.K. Gavai and L.O. Ridder and {Bonino da Silva Santos}, L.O. and G. Singh and R.G.F. Visser and H.J. Finkers",

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TY - CONF

T1 - candYgene: enabling precision breeding through FAIR Data

AU - Kuzniar, A.

AU - Gavai, A.K.

AU - Ridder, L.O.

AU - Bonino da Silva Santos, L.O.

AU - Singh, G.

AU - Visser, R.G.F.

AU - Finkers, H.J.

PY - 2015

Y1 - 2015

N2 - Genetics research is focusing more and more on mining fully sequenced genomes and their annotations to identify the causal genes associated with specific traits (phenotypes) of interest. However, a complex trait is typically associated with multiple quantitative trait loci (QTLs), each with hundreds of genes positively/negatively affecting the desired trait(s). Our aim is to develop a Big data analytics & semantic interoperability infrastructure for candidate gene prioritization that will aid breeders in the design of an optimal genotype with a desired trait(s) for a given environment.

AB - Genetics research is focusing more and more on mining fully sequenced genomes and their annotations to identify the causal genes associated with specific traits (phenotypes) of interest. However, a complex trait is typically associated with multiple quantitative trait loci (QTLs), each with hundreds of genes positively/negatively affecting the desired trait(s). Our aim is to develop a Big data analytics & semantic interoperability infrastructure for candidate gene prioritization that will aid breeders in the design of an optimal genotype with a desired trait(s) for a given environment.

U2 - 10.5281/zenodo.30554

DO - 10.5281/zenodo.30554

M3 - Abstract

ER -

candYgene: enabling precision breeding through FAIR Data

Abstract

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