Sentence examples for sample without requiring from inspiring English sources

We did so, since RQ values provide a more accurate comparison between the initial amounts of template in each sample, without requiring an exact copy number for analysis.

The default installation of the i2b2 hive contains metadata for all of the above types of data elements, and was adequate for successfully completing many of the data requests in the sample, without requiring extensive modifications to these metadata.

These data suggest that sequential TiO2 enrichments at different enrichment conditions could be used to effectively select for distinct subpopulations of phosphorylated peptides from a single sample without requiring a change of TiO2 column hardware.

In these experiments, light is directly coupled to the sample without requiring a prism or a grating, as in the SPR technique; therefore, the angle of incidence does not need to be precisely controlled.

The prepared sol gel PEG coating provided simultaneous extraction of moderately polar and highly polar analytes from aqueous samples without requiring derivatization, pH adjustment or salting-out procedures.

The technique is suitable for rapid quantification of HMF, particularly in honey samples, without requiring sample pretreatment [140].

They refashioned a robot arm that's normally used to spray paint Toyota Prius cars to handle trays of samples without requiring human intervention.

While this approach is sometimes coupled with Principle Component Analysis (PCA) to determine better candidates for predictors [5], the device is capable of identifying the chosen samples without requiring the full dataset in contrast to PCA.

N gsane is also available as Amazon Machine Image and can be deployed to the Amazon Elastic Compute Cloud (EC2) using S tarC luster to allow on-demand processing of samples without requiring software installation or HPC maintenance.

In addition to our attempts to normalize each image, this approach provides another way to account for variability in never-before-seen samples without requiring explicit annotation, which can be cumbersome to obtain in practice.

This bias is tolerable for the present application, so for simplicity we use Q1 (Additional file 2: Table S1) as a summary statistic uniformly for all samples, without requiring the genotype to be known; we have also developed a mixture-model based statistical approach that aims to mitigate this bias [unpublished observations by Jones et al. 2014].