Figure 3 illustrates the key features of the combination graphs using YEF3 as an example.
Users can view the number of codon combinations in each gene using either bar graphs or combination graphs, with the latter being able to simultaneously analyze 1, 2, 3 and 4 codon combinations in a specific gene.
We have developed the GSCC application to provide useful visualization tools (bar graphs and combination graphs) and to promote data analysis by the user; the freely accessible database allows the users to export both codon combination and frequency data for user-defined genes or for the entire genome.
With the knowledge-based potential for internal loop orientations, such as bending and torsion of internal loops, the combination of graph theory and Monte Carlo-simulated annealing sampling shows great promise for assembling global features of RNA architecture: graph RMSDs range from 2.52 to 28.24 Å for RNAs of the size 25 158 nucleotides.
These questions are solved efficiently and effectively at the perspective of combination of graph model and relational database.
BN, also known as Bayesian reliability network, is a combination of graph theory and probability theory (Shi 2012).
We suggest a combination of graph theory, Big Data and Uncertainty Quantification are foundational tools that can model architectures and more importantly the movement of data across architecture interfaces.
Here we exploit a combination of graph matching and machine learning techniques, implemented in a tool we developed, called MARPLE-DPD.
Depending on the problem at hand, a proper combination of graph products, sub-structuring methods, finite difference method and manipulating the stiffness matrix manipulation is selected to achieve the most efficient design.
While patterns may appear to reflect novel characteristics of a combination of graph and node information, they may be expected based on patterns that could be found using conventional data mining techniques.
