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CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases
Cardiovascular diseases (CVDs) account for high morbidity and mortality worldwide. Both, genetic and epigenetic factors are involved in the enumeration of various cardiovascular diseases. In recent years, a vast amount of multi-omics data are accumulated in the field of cardiovascular research, yet...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666633/ https://www.ncbi.nlm.nih.gov/pubmed/26624015 http://dx.doi.org/10.1371/journal.pone.0143188 |
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author | V, Alexandar Nayar, Pradeep G. Murugesan, R. Mary, Beaulah P, Darshana Ahmed, Shiek S. S. J. |
author_facet | V, Alexandar Nayar, Pradeep G. Murugesan, R. Mary, Beaulah P, Darshana Ahmed, Shiek S. S. J. |
author_sort | V, Alexandar |
collection | PubMed |
description | Cardiovascular diseases (CVDs) account for high morbidity and mortality worldwide. Both, genetic and epigenetic factors are involved in the enumeration of various cardiovascular diseases. In recent years, a vast amount of multi-omics data are accumulated in the field of cardiovascular research, yet the understanding of key mechanistic aspects of CVDs remain uncovered. Hence, a comprehensive online resource tool is required to comprehend previous research findings and to draw novel methodology for understanding disease pathophysiology. Here, we have developed a literature-based database, CardioGenBase, collecting gene-disease association from Pubmed and MEDLINE. The database covers major cardiovascular diseases such as cerebrovascular disease, coronary artery disease (CAD), hypertensive heart disease, inflammatory heart disease, ischemic heart disease and rheumatic heart disease. It contains ~1,500 cardiovascular disease genes from ~2,4000 research articles. For each gene, literature evidence, ontology, pathways, single nucleotide polymorphism, protein-protein interaction network, normal gene expression, protein expressions in various body fluids and tissues are provided. In addition, tools like gene-disease association finder and gene expression finder are made available for the users with figures, tables, maps and venn diagram to fit their needs. To our knowledge, CardioGenBase is the only database to provide gene-disease association for above mentioned major cardiovascular diseases in a single portal. CardioGenBase is a vital online resource to support genome-wide analysis, genetic, epigenetic and pharmacological studies. |
format | Online Article Text |
id | pubmed-4666633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46666332015-12-10 CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases V, Alexandar Nayar, Pradeep G. Murugesan, R. Mary, Beaulah P, Darshana Ahmed, Shiek S. S. J. PLoS One Research Article Cardiovascular diseases (CVDs) account for high morbidity and mortality worldwide. Both, genetic and epigenetic factors are involved in the enumeration of various cardiovascular diseases. In recent years, a vast amount of multi-omics data are accumulated in the field of cardiovascular research, yet the understanding of key mechanistic aspects of CVDs remain uncovered. Hence, a comprehensive online resource tool is required to comprehend previous research findings and to draw novel methodology for understanding disease pathophysiology. Here, we have developed a literature-based database, CardioGenBase, collecting gene-disease association from Pubmed and MEDLINE. The database covers major cardiovascular diseases such as cerebrovascular disease, coronary artery disease (CAD), hypertensive heart disease, inflammatory heart disease, ischemic heart disease and rheumatic heart disease. It contains ~1,500 cardiovascular disease genes from ~2,4000 research articles. For each gene, literature evidence, ontology, pathways, single nucleotide polymorphism, protein-protein interaction network, normal gene expression, protein expressions in various body fluids and tissues are provided. In addition, tools like gene-disease association finder and gene expression finder are made available for the users with figures, tables, maps and venn diagram to fit their needs. To our knowledge, CardioGenBase is the only database to provide gene-disease association for above mentioned major cardiovascular diseases in a single portal. CardioGenBase is a vital online resource to support genome-wide analysis, genetic, epigenetic and pharmacological studies. Public Library of Science 2015-12-01 /pmc/articles/PMC4666633/ /pubmed/26624015 http://dx.doi.org/10.1371/journal.pone.0143188 Text en © 2015 V et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article V, Alexandar Nayar, Pradeep G. Murugesan, R. Mary, Beaulah P, Darshana Ahmed, Shiek S. S. J. CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases |
title | CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases |
title_full | CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases |
title_fullStr | CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases |
title_full_unstemmed | CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases |
title_short | CardioGenBase: A Literature Based Multi-Omics Database for Major Cardiovascular Diseases |
title_sort | cardiogenbase: a literature based multi-omics database for major cardiovascular diseases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4666633/ https://www.ncbi.nlm.nih.gov/pubmed/26624015 http://dx.doi.org/10.1371/journal.pone.0143188 |
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