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There are four steps: ① loading vectors into memory according to the query conditions; ② mapping the conditions into tuples (,) where (c_i), (0 le i le n), is the query condition; ③ partitioning the data into nodes and performing the bit operations on vectors by Spark; ④ writing the output of the query result.
The show command adds the selected attribute to the output of the query.
The output of the query results can be downloaded as flat text or formatted tables for further investigation.
A notification e-mail is also sent to the user informing them of the completion of job and the final output of the query.
Since we linked human proteins to the OMIM entries for human genetic disease, if a protein of a given species has a human ortholog referenced in OMIM, this can be displayed as an attribute in the output of the query.
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The output of this query will be a table containing the molecular information and download link of each compound.
The output of this query is shown in figure 4B.
These individuals use the output of these queries as the basis for operational, tactical, and strategic decisions.
Furthermore, the output format of the query result by this search tool has more detailed information than that of the text-based and life stage searches.
The scripting language PHP V5.2.9 was used to connect the database and web browser, and Apache V2.0 was used to display outputs of the queries on the web.
The output of these queries were separated into high and low confidence lists (Additional file 6 Table S3).
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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