Sentence examples for best represented groups from inspiring English sources

The best represented groups were protein metabolism, developmental processes, response to abiotic or biotic stimuli, and response to stress and transport.

Even though the fossil chronology of the Quaternary Period is well preserved and birds are one of the best represented groups, especially in Fuerteventura [ 50], the only remains of Egyptian vultures appear to be modern [ 51].

The best represented groups were response to the stimulus, protein metabolism, and transport in biological process categories.> Triterpenes are assembled from a five-carbon isoprene unit through the cytosolic mevalonate pathway.

Since Begonia is one of the best represented plant groups on tropical limestone karsts (Clements et al.2006), it provides an important model for understanding the role that limestone karsts have played in generating high species diversity and endemism.

The best represented GO-groups were Cellular Process and Metabolic Process.

Removing a few entries only has a slight effect on the best known groups (also the most represented groups in the data set used for the test) since it is likely that closely related sequences can still be found.

The Knife's shifting tempos, marching organ and serrated guitar is best represented on the group's 1973 Live album, with new additions Phil Collins (drums) and Steve Hackett (guitar) lending the track a fitting proto-thrash ferocity.

Second, a list of census categories was presented to participants, who were asked to select the category that best represented their ethnic group.

Modern examplar taxa were not used to represent Squamata, because within this diverse group it is uncertain what the plesiomorphic states are and which taxa would best represent the group as a whole.

For both sexes, disability trajectories were best represented by a four-group model (model parameters shown in Supplementary Table 1).

Affinity propagation is a clustering method that does not use pre-selected centers for clustering, instead it generates exemplars that best represent a group of data points, in this case genes, by considering all similarities between pairs of data points and testing all data points as potential exemplars.