Sentence examples for branches in the graph from inspiring English sources

For a graph with n nodes, the number of branches in each tree, t, must be; :t = n - 1 \ An important relationship for circuit analysis is; :b = l + t \ where b is the number of branches in the graph and l is the number of links removed to form the tree.

Branches in the graph produced by vertices with more than two edges represent breakpoints in synteny.

Additionally, if λ is too small we will simply not observe variant branches in the graph due to both alleles not being represented in the sequence data.

With the additional information assigned to the k-mers, k-mers from repetitive regions can often be distinguished, and thus the number of branches in the graph can be reduced.

The properties of the sequenced genome and quality of the input data is reflected by the structure of the graph; repeats, sequence variation (in a diploid or polyploid genome) and sequencing errors cause branches in the graph.

In order to remove SNPs that are not related to alternative splicing but will create branches in the graph, we search for the following structure: starting from a node, consider the nodes at the end of all its outgoing edges.

> -wrap-foot> Resolving the branches (both sp- and cr-branches) in the graph is one of the key issues for solving the problem of metagenomic assembly.

We can estimate the rate of branching in the graph that can be attributed to each of these branch types by coupling a graph traversal with a probabilistic classifier.

For each branch in the graph, IDBA-Tran checks each outgoing (and incoming) edge, keeps the branch which leads to the longest path, and removes all other branches (tips) which lead to paths shorter than 2 k.

The length of the branches in these graphs reflects the pair-wise distances between samples.

Genomic repeats also cause branches in the assembly graph.