Sentence examples for analysis were generated in from inspiring English sources

Samples for sequence analysis were generated in duplicate, meaning that from each plasmid or RT-PCR sample two libraries were prepared in parallel for sequencing on the same Ion Torrent PGM 318 sequencing chip.

First, it should be pointed out that even though the article by Haffner et al. was published in 1998, the data used for this analysis were generated in Finland between 1982 and 1990 (1).

Since the multiple sequence alignments in our analysis are generated in an automated manner and some variable regions may not be aligned correctly, we removed such columns based on the percentage of gaps in a column [ 72].

The following analysis was generated in international research (Australian Research Council Discovery Project DP1101081) focusing on the responses of members of the general public to the events of 2009 alongside interviews with researchers, clinicians and policy-makers [ 27, 28] and analyses of the public policy texts on pandemic influenza control [ 29].

All plots, graphics and data analysis were generated using in-house R scripts.

The artificial profiles considered in this analysis were generated from the ISO 8608 fitting parameters [G d(n 0) and w] calculated for the real profiles sample.

HA sequences used in this analysis were generated at the Chinese Influenza Center as part of an ongoing routine genetic analysis of HA genes of variant and typical influenza field strains.

Creating peri-stimulus plots to illustrate NAc responsesSemi-spherical ROI masks used in this analysis were generated for each individual's left and right NAc by linear transformation of the voxels with MNI coordinates 8, 10, −10 (right) and −8, 10, −10 (left) into individual EPI space [23].

Two regressors in GLM analysis were generated for decision-making and reaction phases.

In the inductive analysis, codes were generated in the course of the analysis, a team of five members compared and discussed coding as well as emerging themes.

The five outliers removed from the database for this analysis were generating errors and distortions in statistical analysis since even though they did not have dental caries on examination they still reported very low scores (worse symptoms) on the Brazilian version of the PedsQL™ Oral Health Scale.