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RiceSNP-BST: a deep learning framework for predicting biotic stress-associated SNPs in rice.

Briefings in bioinformatics - 23 Sept 2024

Xu Jiajun, Gao Yujia, Lu Quan, Zhang Renyi, Gui Jianfeng, Liu Xiaoshuang, Yue Zhenyu

Abstract excerpt

Rice consistently faces significant threats from biotic stresses, such as fungi, bacteria, pests, and viruses. Consequently, accurately and rapidly identifying previously unknown single-nucleotide polymorphisms (SNPs) in the rice genome is a critical challenge for rice research and the development of resistant varieties. However, the limited availability of high-quality rice genotype data has hindered this...

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PMID: 39562160
DOI: 10.1093/bib/bbae599
PMCID: PMC11576077

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