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Figure 1 shows that the architecture of the platform consists of three layers: application layer, class interface layer, and software entity layer.
Several software programs are integrated with the molecular graphics system in the software entity layer, while various virtual screening services are provided in the application layer.
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We use the entities layer to define mixed queries.
Similarly, a revision of the relational schema of a source requires the adjustment of the concrete entities layer.
GenoQuery is based on an original multi-layer architecture of the warehouse, made of two layers, the entities layer and the databases layer.
Results: We have designed a relational genomic warehouse with an original multi-layer architecture made of a databases layer and an entities layer.
In the case of addition (or deletion) of a source, we have to add/remove concrete entities and links in the concrete entities layer.
We have further distinguished two levels in the entities layer: abstract entities that are extracted from the databases and concrete entities that are views of theses abstract entities in the databases.
To plug our querying module on such warehouses, it would be necessary to design the entities layer on the top of the warehouse architecture, together with the mapping to the databases layer.
The services are decomposed into different layers by the initiating entity, where each layer undertakes a specified portion of the overall service.
Such links have no mapping in the abstract entities level, but match with the links table in the databases layer (Fig. 1).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com