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SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update

The SIGnaling Network Open Resource 2.0 (SIGNOR 2.0) is a public repository that stores signaling information as binary causal relationships between biological entities. The captured information is represented graphically as a signed directed graph. Each signaling relationship is associated to an ef...

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Detalles Bibliográficos
Autores principales: Licata, Luana, Lo Surdo, Prisca, Iannuccelli, Marta, Palma, Alessandro, Micarelli, Elisa, Perfetto, Livia, Peluso, Daniele, Calderone, Alberto, Castagnoli, Luisa, Cesareni, Gianni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145695/
https://www.ncbi.nlm.nih.gov/pubmed/31665520
http://dx.doi.org/10.1093/nar/gkz949
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author Licata, Luana
Lo Surdo, Prisca
Iannuccelli, Marta
Palma, Alessandro
Micarelli, Elisa
Perfetto, Livia
Peluso, Daniele
Calderone, Alberto
Castagnoli, Luisa
Cesareni, Gianni
author_facet Licata, Luana
Lo Surdo, Prisca
Iannuccelli, Marta
Palma, Alessandro
Micarelli, Elisa
Perfetto, Livia
Peluso, Daniele
Calderone, Alberto
Castagnoli, Luisa
Cesareni, Gianni
author_sort Licata, Luana
collection PubMed
description The SIGnaling Network Open Resource 2.0 (SIGNOR 2.0) is a public repository that stores signaling information as binary causal relationships between biological entities. The captured information is represented graphically as a signed directed graph. Each signaling relationship is associated to an effect (up/down-regulation) and to the mechanism (e.g. binding, phosphorylation, transcriptional activation, etc.) causing the up/down-regulation of the target entity. Since its first release, SIGNOR has undergone a significant content increase and the number of annotated causal interactions have almost doubled. SIGNOR 2.0 now stores almost 23 000 manually-annotated causal relationships between proteins and other biologically relevant entities: chemicals, phenotypes, complexes, etc. We describe here significant changes in curation policy and a new confidence score, which is assigned to each interaction. We have also improved the compliance to the FAIR data principles by providing (i) SIGNOR stable identifiers, (ii) programmatic access through REST APIs, (iii) bioschemas and (iv) downloadable data in standard-compliant formats, such as PSI-MI CausalTAB and GMT. The data are freely accessible and downloadable at https://signor.uniroma2.it/.
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spelling pubmed-71456952020-04-13 SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update Licata, Luana Lo Surdo, Prisca Iannuccelli, Marta Palma, Alessandro Micarelli, Elisa Perfetto, Livia Peluso, Daniele Calderone, Alberto Castagnoli, Luisa Cesareni, Gianni Nucleic Acids Res Database Issue The SIGnaling Network Open Resource 2.0 (SIGNOR 2.0) is a public repository that stores signaling information as binary causal relationships between biological entities. The captured information is represented graphically as a signed directed graph. Each signaling relationship is associated to an effect (up/down-regulation) and to the mechanism (e.g. binding, phosphorylation, transcriptional activation, etc.) causing the up/down-regulation of the target entity. Since its first release, SIGNOR has undergone a significant content increase and the number of annotated causal interactions have almost doubled. SIGNOR 2.0 now stores almost 23 000 manually-annotated causal relationships between proteins and other biologically relevant entities: chemicals, phenotypes, complexes, etc. We describe here significant changes in curation policy and a new confidence score, which is assigned to each interaction. We have also improved the compliance to the FAIR data principles by providing (i) SIGNOR stable identifiers, (ii) programmatic access through REST APIs, (iii) bioschemas and (iv) downloadable data in standard-compliant formats, such as PSI-MI CausalTAB and GMT. The data are freely accessible and downloadable at https://signor.uniroma2.it/. Oxford University Press 2020-01-08 2019-10-29 /pmc/articles/PMC7145695/ /pubmed/31665520 http://dx.doi.org/10.1093/nar/gkz949 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Licata, Luana
Lo Surdo, Prisca
Iannuccelli, Marta
Palma, Alessandro
Micarelli, Elisa
Perfetto, Livia
Peluso, Daniele
Calderone, Alberto
Castagnoli, Luisa
Cesareni, Gianni
SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update
title SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update
title_full SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update
title_fullStr SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update
title_full_unstemmed SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update
title_short SIGNOR 2.0, the SIGnaling Network Open Resource 2.0: 2019 update
title_sort signor 2.0, the signaling network open resource 2.0: 2019 update
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145695/
https://www.ncbi.nlm.nih.gov/pubmed/31665520
http://dx.doi.org/10.1093/nar/gkz949
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