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The number of structure representatives in our dataset match closely with the number of entries at the "protein domain" level of the SCOP hierarchy.
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All of these genes were identified in our dataset, matching mostly with one or two contigs, except for spook, with 14 contig hits (Fig. 6).
Since only 15% of C. elegans genes are organized into operons (Allen et al. 2011), we would expect only 15% of T. spiralis genes in our dataset to match C. elegans operonic homologs if they were selected at random.
More than 70% of the unigenes in our dataset significantly matched the T. urticae genome database following alignment of T. cinnabarinus transcriptome to the T. urticae genome.
The value of this feature is 'is-an-abbreviation' if the word instance in our dataset is matched exactly to a term from that abbreviation list or 'is-not-an-abbreviation' otherwise.
It is not entirely surprising that our transcript length dataset matches Refseq only half of the time.
If the attacker M knows a sufficiently long sub-sequence S of locations visited by the respondent R, it is possible that only a few trajectories in the dataset match with S, possibly just one.
With fully consideration of the privacy protection, each entity in our dataset does not match the actual movement of any real person, so that the dataset can be totally open to public as part of data infrastructure.
& Gray) and 16.9% with Ricinus communis L. In our dataset, 9 sequences matched to viral sequences, 18 to artificial sequences, and 42 to bacterial sequences.
Therefore, the number of ESTs in our dataset with a protein match is proportionally low, but the returned matches were overall significant.
We also examined the lengths in our dataset that did not match an H-Inv clone to see which was longer.
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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