AgroLD: a knowledge graph for the plant sciences

doi:10.1186/s12863-025-01359-6

2025-10-03

Happi Happi Bill Gates

Guignon Valentin

Manuel Ruíz

DOI：10.1186/s12863-025-01359-6

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背景预计未来几年对食物的需求将大幅增长。为应对这一挑战，特别是在气候变化背景下，深入理解基因型-表型关系对于提高作物产量至关重要。高通量技术的最新进展已改变植物科学研究格局。然而，迫切需要整合和汇总互补数据以理解生物系统。结果我们介绍了AgroLD，这是一个使用语义网技术无缝集成植物科学数据的知识图谱。AgroLD旨在促进科学界内的假说构建与验证。它包含约10.8亿个三元组，整合并注释了来自19个不同来源的151个以上数据集的数据。结论总体目标是提供一个专门的知识平台，以解决植物科学中的复杂生物学问题，包括基因参与植物抗病性和适应气候变化响应等。

Keyword:

Knowledge graphs

FAIR

Linked data

Bioinformatics

Plant sciences

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BMC Genomic Data

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CIRAD

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institut de recherche pour le developpement (ird)

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