Sentence examples for evolution information from inspiring English sources

Re "Live Longer With Evolution?": Information about the varying Christian, Jewish, Confucian and Taoist attitudes toward greatly increased human longevity and even earthly immortality is interesting.

The input features are amino acid evolution information from optimized sliding windows with different lengths.

It is also an example of how evolution information can be embedded in complex schemas.

NrABC uses a non-revisiting scheme to record history evolution information of the algorithm.

Firstly we extracted local features and global features from protein sequence, such as evolution information and molecule weight.

Fatigue evolution information is dispersed in different features, which increases the difficulty to recognize the fatigue stages.

(3) Although the PseAAC approach, a complementary approach to the GO approach in Plant-PLoc [13], can take into account some partial sequence order effects, the original PseAAC [15] did not contain the functional domain and sequential evolution informations, which have been proved to play an important role in enhancing the prediction quality of other protein attributes (see, e.g., [19], [20]).

Nevertheless, since Plant-mPLoc is an ensemble classifier formed by fusing many basic individual classifiers as well as by incorporating functional domain and evolution informations, it would be relatively more competent in dealing with the cases of mutated sequences than those predictors based on single classifier alone.

By teaching about the nature of science during the elementary years, elementary teachers may provide some of the necessary information needed for students to critically analyze both evolution and anti-evolution information.

DOI: http://dx.doi.org/10.7554/eLife.09248.032 Having found that protein structures can accurately be modeled using co-evolution information, we set out to build models for representatives of large protein families in bacteria with no detectable structural homologs.

We have expanded the initial network model through "guilt by association" based on co-location (operons), co-regulation and co-evolution information that we can calculate through comparative genomic analyses.