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马G-DKB:一个从生物文学中挖掘的马基因疾病知识库

Congjiao Xie^1,2, Jing Gao^1,2,3, Junjie Chen^1,2

¹College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.

|October 7, 2024

概括

研究人员创建了一个土豆基因疾病知识库 (PotatoG-DKB),以巩固关于土豆疾病耐药性的分散研究. 本资源有助于了解土豆的病原体和培育抗病品种.

科学领域:

农业科学农业科学
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

马是全球重要的粮食作物,受到疾病和害虫的威胁.
现有的关于土豆疾病耐药性的研究在众多出版物中分散.
目前还缺乏关于土豆基因与疾病关系的集中知识库.

研究的目的:

从科学文献中系统地提取和组织土豆基因与疾病之间的关系.
为研究人员建立一个全面的土豆基因疾病知识库.
开发一个可访问的平台来探索这些关系.

主要方法:

利用自然语言处理和大型语言模型来构建土豆基因疾病知识库 (PotatoG-DKB).
从与土豆生物学有关的2,906个PubMed摘要中提取了实体和关系.
在Neo4j数据库中存储提取的数据,并开发了一个交互式可视化平台 (土豆基因疾病知识门户网站 - PotatoG-DKP).

主要成果:

PotatoG-DKB包含5206个节点和9443个边缘,代表22个实体类型,包括基因,疾病和物种.
马基因疾病知识门户网站 (PotatoG-DKP) 提供了对提取的基于文献的关联的直观可视化.
该平台有助于了解土豆的病原和抗病能力.

结论:

马G-DKB和马G-DKP为马生物学家和种植者提供了宝贵的资源.
这种知识库有助于导航土豆中复杂的基因疾病相互作用.
开发的平台支持土豆育种和疾病管理战略的进步.

关键词:

疾病疾病疾病知识基础知识基础大型语言模型.文学开采的矿山.马的土豆马的土豆

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