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Data and programs in support of network analysis of genes and their association with diseases

The network-based approaches that were employed in order to depict the relationships between human genetic diseases and their associated genes are described. Towards this direction, monopartite disease-disease and gene-gene networks were constructed from bipartite gene-disease association networks....

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Autores principales: Kontou, Panagiota I., Pavlopoulou, Athanasia, Dimou, Niki L., Pavlopoulos, Georgios A., Bagos, Pantelis G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969244/
https://www.ncbi.nlm.nih.gov/pubmed/27508260
http://dx.doi.org/10.1016/j.dib.2016.07.022
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author Kontou, Panagiota I.
Pavlopoulou, Athanasia
Dimou, Niki L.
Pavlopoulos, Georgios A.
Bagos, Pantelis G.
author_facet Kontou, Panagiota I.
Pavlopoulou, Athanasia
Dimou, Niki L.
Pavlopoulos, Georgios A.
Bagos, Pantelis G.
author_sort Kontou, Panagiota I.
collection PubMed
description The network-based approaches that were employed in order to depict the relationships between human genetic diseases and their associated genes are described. Towards this direction, monopartite disease-disease and gene-gene networks were constructed from bipartite gene-disease association networks. The latter were created by collecting and integrating data from three diverse resources, each one with different content, covering from rare monogenic disorders to common complex diseases. Moreover, topological and clustering graph analyses were performed. The methodology and the programs presented in this article are related to the research article entitled “Network analysis of genes and their association with diseases” [1].
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spelling pubmed-49692442016-08-09 Data and programs in support of network analysis of genes and their association with diseases Kontou, Panagiota I. Pavlopoulou, Athanasia Dimou, Niki L. Pavlopoulos, Georgios A. Bagos, Pantelis G. Data Brief Data Article The network-based approaches that were employed in order to depict the relationships between human genetic diseases and their associated genes are described. Towards this direction, monopartite disease-disease and gene-gene networks were constructed from bipartite gene-disease association networks. The latter were created by collecting and integrating data from three diverse resources, each one with different content, covering from rare monogenic disorders to common complex diseases. Moreover, topological and clustering graph analyses were performed. The methodology and the programs presented in this article are related to the research article entitled “Network analysis of genes and their association with diseases” [1]. Elsevier 2016-07-19 /pmc/articles/PMC4969244/ /pubmed/27508260 http://dx.doi.org/10.1016/j.dib.2016.07.022 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Kontou, Panagiota I.
Pavlopoulou, Athanasia
Dimou, Niki L.
Pavlopoulos, Georgios A.
Bagos, Pantelis G.
Data and programs in support of network analysis of genes and their association with diseases
title Data and programs in support of network analysis of genes and their association with diseases
title_full Data and programs in support of network analysis of genes and their association with diseases
title_fullStr Data and programs in support of network analysis of genes and their association with diseases
title_full_unstemmed Data and programs in support of network analysis of genes and their association with diseases
title_short Data and programs in support of network analysis of genes and their association with diseases
title_sort data and programs in support of network analysis of genes and their association with diseases
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969244/
https://www.ncbi.nlm.nih.gov/pubmed/27508260
http://dx.doi.org/10.1016/j.dib.2016.07.022
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