PCOSKBR2: a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome

20Citations
Citations of this article
52Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

PolyCystic Ovary Syndrome KnowledgeBase (PCOSKBR2) is a manually curated database with information on 533 genes, 145 SNPs, 29 miRNAs, 1,150 pathways, and 1,237 diseases associated with PCOS. This data has been retrieved based on evidence gleaned by critically reviewing literature and related records available for PCOS in databases such as KEGG, DisGeNET, OMIM, GO, Reactome, STRING, and dbSNP. Since PCOS is associated with multiple genes and comorbidities, data mining algorithms for comorbidity prediction and identification of enriched pathways and hub genes are integrated in PCOSKBR2, making it an ideal research platform for PCOS. PCOSKBR2 is freely accessible at http://www.pcoskb.bicnirrh.res.in/.

Cite

CITATION STYLE

APA

Sharma, M., Barai, R. S., Kundu, I., Bhaye, S., Pokar, K., & Idicula-Thomas, S. (2020). PCOSKBR2: a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-71418-8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free