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/.
journal_name
Nucleic Acids Resjournal_title
Nucleic acids researchauthors
Licata L,Lo Surdo P,Iannuccelli M,Palma A,Micarelli E,Perfetto L,Peluso D,Calderone A,Castagnoli L,Cesareni Gdoi
10.1093/nar/gkz949subject
Has Abstractpub_date
2020-01-08 00:00:00pages
D504-D510issue
D1eissn
0305-1048issn
1362-4962pii
5608992journal_volume
48pub_type
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