G2P datasets: a hub for genomic datasets for predictive modeling in plants and animals

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Authors: Fernando M. Aguate, Mark Watson, Harish Neelam, Yunxuan Deng, Jack C. M. Dekkers, Juan Pedro Steibel, Hao Cheng, Gustavo de los Campos
Cited by: 0
References: 14

Abstract

We present G2P Datasets, a novel, open-access repository of publicly available genomic datasets for plants and animals. G2P Datasets currently hosts more than 100 public genomic datasets, meticulously compiled from diverse publications. The repository hosts meta-data (including digital object identifier for the hosted datasets) and scripts that can be used to download and read each dataset hosted into an R-environment. Scientists can submit new datasets by completing an online form. Additionally, many of the curated datasets are accessible through Kaggle and through links that allow rapid download of formatted R-objects. A searchable database of meta-data allows users to search through datasets for more than 60 species of plants and animals in a variety of traits and sample sizes. The repository is accessible via a web app interface with a catalog and clear instructions to contribute by adding new datasets and through GitHub. By unifying genomic and phenotypic meta-data into a navigable platform, we aim to facilitate genome-to-phenotype research in plant and animal genetics. This article provides an overview of the repository's content, organization, and utility.

Fields of Study & Subjects

Genetic and phenotypic traits in livestock Genetic Mapping and Diversity in Plants and Animals Research Data Management Practices

Publication details

Journal / source
G3 Genes Genomes Genetics
Volume
16
Issue
5
Publication date
13 January 2026
Language
EN