OpenSILEX is an ontology-driven Information System designed for life science data.
OpenSILEX main features
The Web Service API allows integration of data from external databases and resources, export to computing and modelling platforms and integration of phenomic data into other systems.
A Web user interface allows exploration of data through interactive and user-friendly menus and tools.
Two application ontologies (OESO and OEEV) describe objects and events involved in life science experiments.
OpenSILEX is available as an open source software under a GNU Affero General Public License version 2. Source code, user and developer documentation are available at github.com/OpenSILEX.
The use of URIs allows standardized, unique and unambiguous identification of objects involved in experiments.
Datasets are enriched with knowledge and metadata enabling the reuse of data and meta-analyses.
Tracking features based on object identifcation and events allows following the different objects involved in experiment in time and space.
OpenSILEX allows to store, organise and manage heterogenous multi-deminsional data originating from multiple sources.
An inference engine based on the semantics and rules represented in the ontologies enables advanced queries, thereby linking the knowledge stored in the Triple Store to the information distributed among the different storage systems.
Advanced visualization features allow displaying images, dynamic graphs of static or time courses of variables.
Different tools allow advanced data querying and computing features including data analysis tools and integration of workflows.
OpenSILEX is a hybrid system based on different storage databases (PostgreSQL, MongoDB, iRODS, RDF4J).
An application for Plant Phenomics.
More informations at phis.inra.fr
An application for vine.
More informations at sunagri.fr
An application for Vegetal Experimental Laboratories at INRAE
More informations at sixtine.fr
An application for bioprocesses.
More informations at inra.fr/EnviBIS
An application for lakes.
More informations at inra.fr/anr-answer
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