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Also, it was noted that the few samples that matched the query had a low confidence.
Before Google, search engines like AltaVista determined relevance based on how well a web page matched the query.
Hits were generated based on how well the compounds matched the query.
A green dot next to a sequence indicates that the sequence matched the query criteria.
The query is evaluated by the ArrayExpress search system, and returns all experiments that contain the query keywords or synonyms of query keywords, in any field; about 50 experiments matched the query on 15 June 2010.
Of the top ten BLAST hits, only four matched the query in containing a TIR domain only and being roughly the same length, four contained obviously different domain structures (including NB-ARC or NB-ARC/LRR domains), and two contained a TIR domain and long (almost 200aa and >700aa) undefined regions making them unlikely to share the same domain structure (see Figure 2).
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The result is a set of pages that match the query in the context.
MP3s or other non-DRM sound files with metadata matching the query are served as results.
When the node discovers the data matching the query, the response message is routed back to the sink node.
The nodes with data matching the query in the interest packet flooded by the sink node become the sources.
The first step is done using a database query that filters out the molecules that cannot match the query.
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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