Sentence examples for the subclass level from inspiring English sources

Additionally, there are 2296 additional categories below the SubClass level covering taxonomic levels 5 11.

All the units within a subclass have the same degree of suitability at the class level and similar kinds of limitations at the subclass level.

In both experiments, we evaluated the accuracy of classification to 96%, as judged by the matching of Repbase and REPCLASS classification at least at the subclass level.

The Octocorallian mutS gene was excluded as it is not present in any other taxa and the two RNAs were also excluded due to high levels of variation in large gaps in alignments above the subclass level, making it difficult for homologous regions to be aligned.

These features can be used to classify elements at the subclass level: non-LTR retrotransposons end in SSRs, LTR retrotransposons are characterized by LTRs, cut-and-paste DNA transposons have terminal inverted repeats, and rolling-circle transposons (Helitrons) have a short GC-rich palindromic stem loop structure near one end and a 5′-TC-3′ motif at the other end (for review, Wicker et al. 2007).

In narcolepsy patients, total IgG levels decreased, while the IgG3 subclass level stayed unchanged.

All analysis is carried out at both the class and subclass level (one level down from the class) to ensure that our findings and insights are persistent across different levels of detail.

To compare the IgG subclass levels, lines were drawn between IgG1 of human HSP60 and IgG1 of HSP60 from S. enterica Enteritidis, C. trachomatis and C. jejuni.

Serum immunoglobulins (Ig) levels and including IgG4 subclass level were in the normal range.

These include the ability to model technological space within fields, since it correctly uses USPTO subclass level data, as well as the ability to accurately analyze similarity at the patent-to-patent dyadic level, since it calculates conceptual overlaps at the lowest level of the classification taxonomy.

Thus, the approach composed of integration of seasonally contrasted multisource data and sampling at subclass level followed by a ML classification is a suitable candidate to become an operational and effective regional land cover mapping method.