MINERVA API and plugins: opening molecular network analysis and visualization to the community
Jazyk angličtina Země Velká Británie, Anglie Médium print
Typ dokumentu časopisecké články
PubMed
31074494
PubMed Central
PMC6821317
DOI
10.1093/bioinformatics/btz286
PII: 5480127
Knihovny.cz E-zdroje
- MeSH
- software * MeSH
- systémová biologie * MeSH
- Publikační typ
- časopisecké články MeSH
SUMMARY: The complexity of molecular networks makes them difficult to navigate and interpret, creating a need for specialized software. MINERVA is a web platform for visualization, exploration and management of molecular networks. Here, we introduce an extension to MINERVA architecture that greatly facilitates the access and use of the stored molecular network data. It allows to incorporate such data in analytical pipelines via a programmatic access interface, and to extend the platform's visual exploration and analytics functionality via plugin architecture. This is possible for any molecular network hosted by the MINERVA platform encoded in well-recognized systems biology formats. To showcase the possibilities of the plugin architecture, we have developed several plugins extending the MINERVA core functionalities. In the article, we demonstrate the plugins for interactive tree traversal of molecular networks, for enrichment analysis and for mapping and visualization of known disease variants or known adverse drug reactions to molecules in the network. AVAILABILITY AND IMPLEMENTATION: Plugins developed and maintained by the MINERVA team are available under the AGPL v3 license at https://git-r3lab.uni.lu/minerva/plugins/. The MINERVA API and plugin documentation is available at https://minerva-web.lcsb.uni.lu.
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Demner-Fushman D. et al. (2018) ‘Data Descriptor: a dataset of 200 structured product labels annotated for adverse drug reactions’. Sci. Data, 5, 180001. PubMed PMC
Fujita K.A. et al. (2014) Integrating pathways of Parkinson’s disease in a molecular interaction map. Mol. Neurobiol. 49, 88–102. PubMed PMC
Gawron P. et al. (2016) MINERVA—a platform for visualization and curation of molecular interaction networks. NPJ Syst. Biol. Appl., 2, 16020. PubMed PMC
Juty N. et al. (2012) Identifiers.org and MIRIAM Registry: community resources to provide persistent identification. Nucleic Acids Res., 40, D580–D586. PubMed PMC
Kuperstein I. et al. (2015) Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps. Oncogenesis., 4, e160. PubMed PMC
Mazein A. et al. (2018) Systems medicine disease maps: community-driven comprehensive representation of disease mechanisms. NPJ Syst. Biol. Appl., 4, 21. PubMed PMC
Nightingale A. et al. (2017) The Proteins API: accessing key integrated protein and genome information. Nucleic Acids Res., 45, W539–W544. PubMed PMC
Noronha A. et al. (2017) ReconMap: an interactive visualization of human metabolism. Bioinformatics, 33, 605–607. PubMed PMC
Visualization of automatically combined disease maps and pathway diagrams for rare diseases