Sentence examples for data for resolving from inspiring English sources

Particle image velocimetry (PIV), a non-intrusive measuring technique, was used to provide benchmark data for resolving a simultaneous flow field in the converging region of two submerged parallel jets issued from rectangular channels.

Completely sequenced plastid genomes also provide a valuable source of phylogenetic data for resolving relationships among angiosperms [ 35, 47- 50].

Recently, progress has been made towards analytical prediction of the utility of sequence data for resolving phylogenies in which long-branch attraction bias may arise.

High fixation points or lack of fixation for the earliest splits in RADICAL analysis (nodes b, c, e, and h in fig. 1) also demonstrate the lack of data for resolving these relationships.

This study highlights the strengths and limitations of plastome data for resolving the green plant phylogeny, and points toward an exciting future for plant phylogenetics, during which the vast and largely untapped territory of nuclear genomes will be explored.

Several publications have demonstrated the utility of transcriptome data for resolving the relationships of Spalacidae [ 28], Passerida [ 29], and the large tetrapod group consisting of turtles, birds and crocodiles [ 23].

We compare the efficacy of a UCE-based phylogenomic data set to that of a high-quality nuclear-gene data set for resolving phylogenetic relationships and obtaining divergence estimates within formicine ants.

Verbruggen et al. [ 51], in their recent research on the data requirements for resolving the red algal tree of life, indicated that up to 2.8 × 105 nucleotides of sequence data may be required to resolve some regions of the phylogeny, which is orders of magnitude more data than that provided by our concatenated three-marker data set.

While complete genomes are the ultimate data sets for resolving phylogenetic and evolutionary issues of different kinds (e.g. [28], [41]), the costs of producing these data sets are still at a level that that precludes a dense taxonomic sampling among higher organisms.

Our results demonstrate the power of NGS data sets for resolving some of the most difficult phylogenetic challenges where traditional phylogenetic markers have failed.

The mt-genome is an effective data source for resolving intraordinal phylogenetic problems at the superfamily level within Heteroptera.