PCOSKBR2: a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome
Mridula Sharma, Ram Shankar Barai, Indra Kundu, Sameeksha Bhaye, Khushal Pokar, Susan Idicula‐Thomas
Abstract
Abstract PolyCystic Ovary Syndrome KnowledgeBase (PCOSKB R2 ) 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 PCOSKB R2 , making it an ideal research platform for PCOS. PCOSKB R2 is freely accessible at http://www.pcoskb.bicnirrh.res.in/ .