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G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers.

Nucleic acids research - 2 Jul 2021

Zeng Shuai, Mao Ziting, Ren Yijie, Wang Duolin, Xu Dong, Joshi Trupti

Abstract excerpt

G2PDeep is an open-access web server, which provides a deep-learning framework for quantitative phenotype prediction and discovery of genomics markers. It uses zygosity or single nucleotide polymorphism (SNP) information from plants and animals as the input to predict quantitative phenotype of interest and genomic markers associated with phenotype. It provides a one-stop-shop platform for researchers to create...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 34037802
DOI: 10.1093/nar/gkab407
PMCID: PMC8262736

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