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Here we present Wanderer, a very simple and intuitive Web tool allowing real-time access and visualization of gene expression and DNA methylation profiles from TCGA data using gene targeted queries.
Moreover, the actual written plans of each hospital were not reviewed by our institution, but rather reports in direct response to our targeted queries by the respective hospitals were reviewed.
Targeted queries can be performed in order for instance, to analyse prolamin characteristics at species and genotype level; to identify peptides resistant to gastrointestinal enzymes; to identify peptides or epitopes suitable for MS-based marker analyses and to identify epitopes at unique protein or peptide level.
Can an interpreter translate natural language clinical questions into targeted queries using patterns and ontology terms?
A Natural Language Processing engine which can "translate" free text into targeted queries, automatically transforming a clinical research question into a request description that contains only terms of ontologies, has been implemented.
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The approach for new queries is to first translate the clinically targeted AQL-queries to other native storage targeted query languages (such as SQL, SPARQL, or XQuery [ 26]) and then run the query natively in the database.
Since both ChEMBL-RDF and Chem2Bio2RDF use InChI keys to present chemical compounds and adopt Bio2RDF protein identifiers to present targets, queries can be easily constructed to link the two.
Web search and VS can be treated as a similar problem, seeking an analogous result where higher candidates (webs or compounds) should have higher relevance to the underlying target (query or protein).
We scanned the protein databases to search for P5ßR sequences amongst conifer species by a computational similarity search and detected a few tentatively identified tissue library cDNA clones that encoded 54 to 55%% identical amino acids with the angiosperm target query.
First, one could imagine a network in which the ISs of some query-query and exclusive target-query interactions are usually strong, while the inclusive target-query ones are weak (network A, Fig. 4A).
Finally, one could consider a network in which strong ISs are mostly distributed on inclusive target-query interactions, which minimizes global efficiency (network D, Fig. 4D).
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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