Sentence examples for alignment problem in from inspiring English sources

K-shortest path is used in various fields like sequence alignment problem in molecular bioinformatics, robot motion planning, path finding in gene network where speed to calculate paths plays a vital role.

It is our goal to modify the pairwise alignment problem in a way that we can prove the resulting alignment score to be pd.

Considering this idea as a reference, we propose C_PBNA algorithm which can be extended to the network alignment problem in which two graphs, G1 and G2, are both uncertain graphs.

An important example of the local RNA alignment problem in homology search and alignment arises in metagenomic shotgun survey sequencing (Chen and Pachter, 2005; Schloss and Handelsman, 2005), particularly when assembly is incomplete or not possible.

The network alignment problem in its abstract form can be formulated as an optimization problem with the goal of identifying an optimal mapping between the nodes of the input networks, which maximizes both sequence similarity of aligned proteins and conservation of their underlying interactions.

We use a local search approach to the pairwise PPI network alignment problem in a manner similar to 2-Opt as follows: when given a maximum weighted bipartite mapping in, we define a vertex subset for each, which consists of the c highest-weighted neighbors of x in Y (where the weight of a neighbor of x is given by its sequence similarity to x).

The icoshift program presented here is an open source and highly efficient program designed for solving signal alignment problems in metabonomic NMR data analysis.

This tremendously simplifies computationally challenging alignment problems in species with high levels of genetic diversity.

In agreement with our previous studies [12], addition of 23dMB-PP1 to HCT-Mps1as cells caused severe alignment problems in ∼70% of cells.

By choosing appropriate REs, repetitive regions of genomes can be avoided and lower copy regions can be targeted with two to three fold higher efficiency [12], [19], which tremendously simplifies computationally challenging alignment problems in species with high levels of genetic diversity.

Current RNA-seq analysis pipelines handle the multiple-alignment problem in both the alignment and assembly steps.