MINERVA API and plugins: opening molecular network analysis and visualization to the community
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10409404" target="_blank" >RIV/00216208:11320/19:10409404 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=aZ1R_6R-VY" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=aZ1R_6R-VY</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/bioinformatics/btz286" target="_blank" >10.1093/bioinformatics/btz286</a>
Alternative languages
Result language
angličtina
Original language name
MINERVA API and plugins: opening molecular network analysis and visualization to the community
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Bioinformatics
ISSN
1367-4803
e-ISSN
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Volume of the periodical
35
Issue of the periodical within the volume
21
Country of publishing house
GB - UNITED KINGDOM
Number of pages
3
Pages from-to
4496-4498
UT code for WoS article
000499323900060
EID of the result in the Scopus database
2-s2.0-85074305100