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.

DISNOR: a disease network open resource / Lo Surdo, P; Calderone, A; Iannuccelli, M; Licata, L; Peluso, D; Castagnoli, L; Cesareni, G; Perfetto, L. - In: NUCLEIC ACIDS RESEARCH. - ISSN 1362-4962. - 46:D1(2018), pp. 527-534. [10.1093/nar/gkx876]

DISNOR: a disease network open resource

Perfetto L
Ultimo
2018

Abstract

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.
2018
SIGNOR; cancer; rare diseases; network; DisGeNet
01 Pubblicazione su rivista::01a Articolo in rivista
DISNOR: a disease network open resource / Lo Surdo, P; Calderone, A; Iannuccelli, M; Licata, L; Peluso, D; Castagnoli, L; Cesareni, G; Perfetto, L. - In: NUCLEIC ACIDS RESEARCH. - ISSN 1362-4962. - 46:D1(2018), pp. 527-534. [10.1093/nar/gkx876]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1660162
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