This makes a correlation between sequence and function especially demanding.
The value of last cell A[n, m] represents the distance between sequence s and t.
The differences of SNP density between sequence regions are assessed using the ANOVA analysis.
Moreover, we propose a conceptual framework that allows us to quantify the relationship between sequence, structure, and binding energetics.
We determine the relationship between sequence divergence and Bayesian phylogenetic reconstruction ability using both natural and simulated datasets.
Enzymes are therefore an ideal functional group to study the relationship between sequence expansion, functional divergence and phenotypic changes.
The theory of BK-spaces is the most powerful tool in the characterization of the matrix transformation between sequence spaces.
The theory of BK spaces is the most powerful tool in the characterization of matrix transformations between sequence spaces.
Taken together, these observations show that the relationship between sequence, structure, and function is complex.
