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Consider the following examples (the query notation is adopted from the reference [75]): Table 3 contains the original data, which is represented by a relation with four attributes.
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Example: The query SELECT SUM salary)… performs an aggregation on the attribute salary.
Example: The query SELEC T…WHEREname='Adam' performs an equality selection on the attribute name.
Example: The query SELEC T…WHEREname LIKE 'Ad' performs a like selection on the attribute name.
Example: The query SELEC T…WHEREage<30 performs a range selection on the attribute age.
For example, the query "Find a gene that pertains to Promed4 and that does not have an ortholog in Pro9313".
For example, the query 'GO 000' will list all the GO IDs containing 'GO 000'GO 000
Thus, in the previous example, the query to PubMed only contained 'Aminophenols'.
For example, the query dataset used here contained five monobasic genera.
For example, the query (2) above cannot be directly computed from the example database in Figure 1.
In the MAPK1 example, the query isoform has a protein kinase domain, according to the results of InterProScan.
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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