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DISNOR: a disease network open resource

DISNOR is a new resource that aims at exploiting the explosion of data on the identification of disease-associated genes to assemble inferred disease pathways. This may help dissecting the signaling events whose disruption causes the pathological phenotypes and may contribute to build a platform for...

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Detalles Bibliográficos
Autores principales: Lo Surdo, Prisca, Calderone, Alberto, Iannuccelli, Marta, Licata, Luana, Peluso, Daniele, Castagnoli, Luisa, Cesareni, Gianni, Perfetto, Livia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753342/
https://www.ncbi.nlm.nih.gov/pubmed/29036667
http://dx.doi.org/10.1093/nar/gkx876
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author Lo Surdo, Prisca
Calderone, Alberto
Iannuccelli, Marta
Licata, Luana
Peluso, Daniele
Castagnoli, Luisa
Cesareni, Gianni
Perfetto, Livia
author_facet Lo Surdo, Prisca
Calderone, Alberto
Iannuccelli, Marta
Licata, Luana
Peluso, Daniele
Castagnoli, Luisa
Cesareni, Gianni
Perfetto, Livia
author_sort Lo Surdo, Prisca
collection PubMed
description DISNOR is a new resource that aims at exploiting the explosion of data on the identification of disease-associated genes to assemble inferred disease pathways. This may help dissecting the signaling events whose disruption causes the pathological phenotypes and may contribute to build a platform for precision medicine. To this end we combine the gene-disease association (GDA) data annotated in the DisGeNET resource with a new curation effort aimed at populating the SIGNOR database with causal interactions related to disease genes with the highest possible coverage. DISNOR can be freely accessed at http://DISNOR.uniroma2.it/ where >3700 disease-networks, linking ∼2600 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes by manually annotated causal relationships and offers an intuitive visualization of the inferred ‘patho-pathways’ at different complexity levels. User-defined gene lists are also accepted in the query pipeline. In addition, for each list of query genes—either annotated in DisGeNET or user-defined—DISNOR performs a gene set enrichment analysis on KEGG-defined pathways or on the lists of proteins associated with the inferred disease pathways. This function offers additional information on disease-associated cellular pathways and disease similarity.
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spelling pubmed-57533422018-01-05 DISNOR: a disease network open resource Lo Surdo, Prisca Calderone, Alberto Iannuccelli, Marta Licata, Luana Peluso, Daniele Castagnoli, Luisa Cesareni, Gianni Perfetto, Livia Nucleic Acids Res Database Issue DISNOR is a new resource that aims at exploiting the explosion of data on the identification of disease-associated genes to assemble inferred disease pathways. This may help dissecting the signaling events whose disruption causes the pathological phenotypes and may contribute to build a platform for precision medicine. To this end we combine the gene-disease association (GDA) data annotated in the DisGeNET resource with a new curation effort aimed at populating the SIGNOR database with causal interactions related to disease genes with the highest possible coverage. DISNOR can be freely accessed at http://DISNOR.uniroma2.it/ where >3700 disease-networks, linking ∼2600 disease genes, can be explored. For each disease curated in DisGeNET, DISNOR links disease genes by manually annotated causal relationships and offers an intuitive visualization of the inferred ‘patho-pathways’ at different complexity levels. User-defined gene lists are also accepted in the query pipeline. In addition, for each list of query genes—either annotated in DisGeNET or user-defined—DISNOR performs a gene set enrichment analysis on KEGG-defined pathways or on the lists of proteins associated with the inferred disease pathways. This function offers additional information on disease-associated cellular pathways and disease similarity. Oxford University Press 2018-01-04 2017-10-03 /pmc/articles/PMC5753342/ /pubmed/29036667 http://dx.doi.org/10.1093/nar/gkx876 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Lo Surdo, Prisca
Calderone, Alberto
Iannuccelli, Marta
Licata, Luana
Peluso, Daniele
Castagnoli, Luisa
Cesareni, Gianni
Perfetto, Livia
DISNOR: a disease network open resource
title DISNOR: a disease network open resource
title_full DISNOR: a disease network open resource
title_fullStr DISNOR: a disease network open resource
title_full_unstemmed DISNOR: a disease network open resource
title_short DISNOR: a disease network open resource
title_sort disnor: a disease network open resource
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753342/
https://www.ncbi.nlm.nih.gov/pubmed/29036667
http://dx.doi.org/10.1093/nar/gkx876
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