Sentence examples for datasets was generated by from inspiring English sources

Protein sequence alignments were made by using ClustalX version 2.0.3 (http://www.clustal.org) with the default settings; a phylogenetic tree with 100 bootstrap resamples of the alignment datasets was generated by using the neighbor-joining method based on the Jones-Taylor-Thornton matrix-based model in MEGA5 (http://www.megasoftware.net).net

This over-head is incompatible with the size of the datasets being generated by next generation sequencing technologies.

Two synthetic datasets are generated by the SSCA#2 generator [2] and the power-law generator R-MAT [3] respectively.

Increasingly elaborate and voluminous datasets are generated by the (bio pharmaceutical industry and are a major challenge for application of PAT and QbD principles.

MF datasets were generated by applying moderate perturbations to the basal activation levels of all genes in the network.

Tryptic glycopeptide datasets were generated by the addition of glycan mass increments to the masses of the two identified peptides.

The synthetic datasets were generated by drawing simulated case and control samples from lognormal distributions: control samples from a distribution with a lower mean, and case samples from either the control distribution or a case distribution with a higher mean.

All the datasets were generated by four independent laboratories.

Both datasets were generated by Illumina Genome Analyzer II.

The datasets were generated by Paik et al. (2007).

All of the datasets are generated by the ms-series simulator [ 30].