Artikel ; Online: SIGNORApp: a Cytoscape 3 application to access SIGNOR data.
Bioinformatics (Oxford, England)
2021 Band 38, Heft 6, Seite(n) 1764–1766
Abstract: Summary: SIGNORApp is a Cytoscape 3 (3.8 and later) application that provides access to causal interactions annotated in the SIGNOR resource. The application builds networks that can be represented as weighted, signed, directed graphs, where nodes are ... ...
| Abstract | Summary: SIGNORApp is a Cytoscape 3 (3.8 and later) application that provides access to causal interactions annotated in the SIGNOR resource. The application builds networks that can be represented as weighted, signed, directed graphs, where nodes are interacting biological entities and edges represent causal interactions captured by expert curators from experiments reported in peer reviewed journals. Users can query the SIGNOR dataset with (i) single or multiple entity name(s) or identifier(s) and optionally they may require to include in the output network their interacting partners, (ii) browse pathways that are annotated in the SIGNOR resource and (iii) extract the entire causal interactome. The app offers two visualizations modes: one only displaying entity interactions and a second emphasizing the post-translational modifications occurring as a consequence of the interaction. In addition, users can click on nodes and edges to access entity and interaction annotations. Causal information is available for three model organisms: Homo sapiens, Mus musculus and Rattus norvegicus. Availability and implementation: SIGNORApp has been developed for Cytoscape 3 (3.8 and later) in the Java programming language. The latest source code and the plugin can be found at: https://github.com/SIGNORcysAPP/signor-app and https://apps.cytoscape.org/apps/signorapp, respectively. Supplementary information: Supplementary data are available at Bioinformatics online. |
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| Mesh-Begriff(e) | Mice ; Humans ; Animals ; Rats ; Software ; Protein Processing, Post-Translational | |||||
| Sprache | Englisch | |||||
| Erscheinungsdatum | 2021-12-23 | |||||
| Erscheinungsland | England | |||||
| Dokumenttyp | Journal Article ; Research Support, Non-U.S. Gov't | |||||
| ZDB-ID | 1422668-6 | |||||
| ISSN | 1367-4811 ; 1367-4803 | |||||
| ISSN (online) | 1367-4811 | |||||
| ISSN | 1367-4803 | |||||
| DOI | 10.1093/bioinformatics/btab865 | |||||
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| Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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