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

Author:

Licata Luana1ORCID,Lo Surdo Prisca1,Iannuccelli Marta1,Palma Alessandro1ORCID,Micarelli Elisa1ORCID,Perfetto Livia12,Peluso Daniele3,Calderone Alberto1,Castagnoli Luisa1,Cesareni Gianni13

Affiliation:

1. Department of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy

2. European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK

3. IRCSS Fondazione Santa Lucia, 00142 Rome, Italy

Abstract

Abstract 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/.

Funder

Italian Association for Cancer Research

ELIXIR-IIB

Italian Node of the European ELIXIR infrastructure

Publisher

Oxford University Press (OUP)

Subject

Genetics

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