Sentence examples for several bioinformatics applications from inspiring English sources

With its several bioinformatics applications, classification based on radial basis function network has been extensively adopted to predict factors such as the cleavage sites in proteins [23], inter-residue contacts [24], protein disorder [25], discrimination of β-barrel proteins [15], and identification of O-linked glycosylation [26].

To accelerate queries, it provides indexes, including bitmap indexes, and it is worth exploiting in several bioinformatics applications [ 40].

Sampled state paths have already been used in several bioinformatics applications for sequence decoding, see e.g. [ 2, 33] where sampled state paths are used in the context of gene prediction to detect alternative splice variants.

This is shown in Figure 2. The w-mer captures local sequential similarities within the sequences and is used in several bioinformatic applications [ 31, 32].

Correlation networks are increasingly being used in various bioinformatics applications [ 10- 12].

Some recent versions of the MPPEP, such as the Most Parsimonious Phylogeny Estimation Problem from SNP haplotypes (MPPEP-SNP) investigated in this article, play a fundamental role in providing predictions of practical use in several medical bioinformatics applications, such as disease association studies [ 19] or reconstruction of tumor phylogenies [ 20, 21].

Several cloud-based bioinformatics applications and resources have been developed specifically to address the challenges of working with the very large volumes of data generated by NGS technology.

Given that the size of the datasets and the number of samples used in molecular bioscience are expected to increase over time, we envision that Hadoop will become increasingly popular in several types of bioinformatics applications.

We give an overview of various algorithms, and illustrate how they can be used in several real-life bioinformatics application domains.

The RHNumtS compilation proposed here results from the application of several bioinformatics approaches and from comparisons of resulting data with previously published Human NumtS compilations.

In particular, we illustrate and compare the impact of several error correctors for two popular bioinformatics applications, namely, alignment and assembly of reads.