GMMID:转基因小鼠信息数据库
Menglin Xu1, Minghui Fang2,3, Qiyang Chen2,3
1Shenzhen Key Laboratory for Systems Medicine in Inflammatory Diseases, School of Medicine, Shenzhen Campus of Sun Yat-Sen University, 66#, Gongchang Road, Shenzhen, Guangdong 518107, China.
Database : the journal of biological databases and curation
|August 20, 2024
概括
基因工程小鼠模型 (GEMMs) 对研究至关重要,但数据组织落后. 新的GMMID数据库为GEMMs提供了全面的遗传和疾病信息,改善了研究人员的可访问性.
科学领域:
- 遗传学和生物信息学
- 研究中的小鼠模型.
- 数据库开发 数据库开发
背景情况:
- 基因工程小鼠模型 (GEMMs) 对于理解基因功能和疾病至关重要.
- 目前的数据库缺乏对等位基因组合和相关人类疾病的详细生物学描述.
- 这限制了GEMM作为人类疾病模型的实用性,并阻碍了跨学科的研究.
研究的目的:
- 开发一个全面和用户友好的基因改造小鼠信息数据库.
- 通过整合详细的遗传和疾病相关数据来解决现有数据库的局限性.
- 为各个学科的研究人员提供对复杂遗传信息的有效访问.
主要方法:
- 开发了一个基于Python的算法来注释等位基组成.
- 来自多个来源的综合数据,包括NCBI,MGI,OMIM,IMPC和Jax实验室.
- 创建了转基因小鼠信息数据库 (GMMID),重点是用户友好性.
主要成果:
- GMMID为超过70,055个等位基因和65,520个等位基因组合提供了全面的遗传信息.
- 该数据库包括大约4000个相关人类疾病的信息.
- 提供了对等位基因和等位基因组合的生物学上有意义的描述,以及对解剖组织的时空可视化.
结论:
- GMMID提高了GEMM复杂遗传数据的可访问性和可解释性.
- 该数据库是跨学科研究人员研究基因功能和人类疾病的宝贵,高效的资源.
- 通过整合各种数据类型并提供清晰的生物背景,GMMID显著改善了现有资源.
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