HODD: A Manually Curated Database of Human Ophthalmic Diseases with Symptom Characteristics and Genetic Variants Towards Facilitating Quick and Definite Diagnosis

疾病 工作流程 人类疾病 数据库 医学 基因 生物信息学 计算机科学 生物 遗传学 病理
作者
Zhaotian Zhang,Qiang Tang,Qiong Wang,Fulei Nie,Limei Sun,Hongmei Luo,Wei Chen,Xiaoyan Ding
出处
期刊:Interdisciplinary Sciences: Computational Life Sciences [Springer Nature]
卷期号:14 (2): 385-393 被引量:1
标识
DOI:10.1007/s12539-021-00494-9
摘要

Ophthalmic diseases are disorders that affect the eyes. Hundreds of causal genes and biological pathways have been reported to be closely correlated with ophthalmic diseases. However, these information are scattered across various resources, which has hindered a thorough and deep understanding of ophthalmic diseases. In the present work, we proposed the Human Ophthalmic Diseases Database (HODD), which currently deposits 730 ophthalmic diseases and 653 related genes and is available at http://bio-bigdata.cn/HODD/. The disease-related information and genes related to ophthalmic diseases were collected from the several well-known databases. To comprehensively understand the ophthalmic diseases, the basic information was provided for each disease, including disease description, related genes, gene location, ocular and extraocular effect of the disease, protein–protein interaction and disease-associated pathways. All these data were reorganized and made accessible through multiple entrances. We hope that HODD will facilitate studies on ophthalmic diseases.Graphical AbstractThe workflow for the construction of the HODD (Human Ophthalmic Diseases Database, http://bio-bigdata.cn/HODD/) database.
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