Sentence examples for necessary for analysis of from inspiring English sources

Exact(9)

Statistical reweighting is useful and sometimes necessary for analysis of equilibrium enhanced sampling methods, such as umbrella sampling or replica exchange, and also in experimental cases where biasing factors are explicitly known.

These changes must therefore be minimized to ensure the long-term high quality recordings necessary for analysis of processes such as memory formation, or maintained stimulation efficacy necessary for obtaining adequate and stable therapeutic effects in the clinical context.

Read bases beyond the variant site are necessary for analysis of amplicon sequencing data.

Prospective multicenter trials are necessary for analysis of cost-effectiveness of this strategy.

Generally, high performance separation techniques are necessary for analysis of closely related structures of glycan moieties prior to MS analysis.

DNA extraction and purification was not necessary for analysis of the raw heparin samples, although digestion of the sample with heparinase was employed.

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Similar(51)

Without a cluster, processing large quantities of data using just a local Galaxy server is not practical due to the amount of time necessary for analysis to complete.

Further, we provide a roadmap for how VSM can provide necessary information for analysis of equipment replacement decision problems encountered in lean manufacturing implementation.

Heat flow data contribute towards better understanding of geologic processes like rifting, plateau uplift and mountain building as well as providing the necessary conditions for analysis of hydrocarbon maturation in sediments.

However, sensitivity is limited, requiring application of multiple reaction monitoring (MRM) "scans" to obtain the necessary sensitivity for analysis of biological samples [17].

A two-way mixed analysis of variance (ANOVA), followed by a Fisher post hoc test if necessary, was used for analysis of blood glucose, body mass, food consumptions and water intake over the experimental period.

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