Sentence examples for slim classes from inspiring English sources

Presumably, many of the unmatched Douglas-fir genes would fall into these GO slim classes had we used a less stringent E-value.

The percentages of annotated P. contorta sequences assigned to GO Slim classes generally mirrored those of A. thaliana genes (http://www.arabidopsis.org; Fig. 5), reflecting a similar distribution of genes in different functional categories, and further highlighting that a large diversity of P. contorta transcripts is represented by these sequences.

Nevertheless, there is clearly signal in each of the methods described as demonstrated by the positive results produced in the analyses of Translin (Neduva et al., 2005), EH-1 (Copley, 2005) and KENBox (Michael et al., 2008) SLiM classes, as well as, the identification of kinases associated with particular phosphorylation sites by NetworKin (Linding et al., 2007).

More importantly, iELM incorporates the less well-known SLiM classes (over two-thirds of those annotated in ELM) that do not have this overlapping intra-domain specificity enabling a more extensive array of SLiM-mediated interfaces to be predicted for the human interactome.

Compared to Douglas-fir, many more Arabidopsis sequences fell into the "Unknown cellular components" and "Unknown molecular functions" classes, suggesting that these GO slim classes contain Arabidopsis genes that are more likely to be absent from Douglas-fir or highly diverged (i.e., resulting in no GO slim assignment for Douglas-fir).

A large number of these PPIs are mediated by multiple SLiM classes or SLiM instances, for example, in the interaction between GRB2 (uniprot:P62993) and SOS1 (uniprot:Q07889); SOS1 has seven putative SH3 motifs and GRB2 has two SH3 domains, potentially this can equate to 14 binding interfaces for a single PPI.

There are few updates to this model, but the phone continues to be a clear winner in the slim class.

The frequency distribution of ORFs in each GO Slim class was then calculated for ORFs in hORFeome v3.1 as well as for the entire proteome.

The course offerings were slim and class enrollments were down year after year, students majoring in Afro Am were also down.

The SLiM functional classes used in iELM were extracted, in the form of a regular expression, from the ELM database (2011-03).

Distribution of predicted protein sequences from BES to high-level GO terms suggested the presence of a broad range of categories from all GO-slim functional classes.