PCOSKB(R2): a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome

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 recor...

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Autores principales: Sharma, Mridula, Barai, Ram Shankar, Kundu, Indra, Bhaye, Sameeksha, Pokar, Khushal, Idicula-Thomas, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477240/
https://www.ncbi.nlm.nih.gov/pubmed/32895427
http://dx.doi.org/10.1038/s41598-020-71418-8
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author Sharma, Mridula
Barai, Ram Shankar
Kundu, Indra
Bhaye, Sameeksha
Pokar, Khushal
Idicula-Thomas, Susan
author_facet Sharma, Mridula
Barai, Ram Shankar
Kundu, Indra
Bhaye, Sameeksha
Pokar, Khushal
Idicula-Thomas, Susan
author_sort Sharma, Mridula
collection PubMed
description 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/.
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spelling pubmed-74772402020-09-08 PCOSKB(R2): a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome Sharma, Mridula Barai, Ram Shankar Kundu, Indra Bhaye, Sameeksha Pokar, Khushal Idicula-Thomas, Susan Sci Rep Article 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/. Nature Publishing Group UK 2020-09-07 /pmc/articles/PMC7477240/ /pubmed/32895427 http://dx.doi.org/10.1038/s41598-020-71418-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Sharma, Mridula
Barai, Ram Shankar
Kundu, Indra
Bhaye, Sameeksha
Pokar, Khushal
Idicula-Thomas, Susan
PCOSKB(R2): a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome
title PCOSKB(R2): a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome
title_full PCOSKB(R2): a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome
title_fullStr PCOSKB(R2): a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome
title_full_unstemmed PCOSKB(R2): a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome
title_short PCOSKB(R2): a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome
title_sort pcoskb(r2): a database of genes, diseases, pathways, and networks associated with polycystic ovary syndrome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477240/
https://www.ncbi.nlm.nih.gov/pubmed/32895427
http://dx.doi.org/10.1038/s41598-020-71418-8
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