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The various search terms were connected with the relevant Boolean operators.
Search terms were connected using the Boolean Operators "AND" and "OR" to capture all relevant article suggestions.
If two GOBP terms were connected, then the Boolean relationship between these GOBP terms would be "OR".
Four terms were connected to protein synthesis ("translation" GO 0006412, "structural constituent of ribosome" GO 0003735, "ribonucleoprotein complex" GO 0030529, and "ribosome" GO 0005840).
For example, considering a small network with 3 GOBP terms, GOBP 1, GOBP 2 and GOBP 3, and a pathway P, where GOBP 1 and GOBP 2 were connected, GOPB 3 was not connected with GOBP 1 and GOBP 2, and all GOBP terms were connected to pathway P.
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GO terms are connected into nodes of a network, thus the connections between 'parents' (broad/high level process) and 'children' (more specific/lower level process) are illustrated as directed acyclic graphs.
Two related terms are connected with an edge denoting the parent-child relationship between nodes.
All GO terms are connected with each other by directed acyclic graphs with hierarchy relationship.
GO terms are organized as directed acyclic graphs (DAG) meaning that GO terms are connected as nodes by directed edges defining hierarchical parent-child relationships.
The choice of this term was connected with the Aristotelian rejection of the infinite divisibility of matter.
The higher the Θ bi,bj) is, the more significant the two bio-terms are connected.
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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