Sentence examples for using automated assignment of from inspiring English sources

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The functional terms were assigned to each transcript using automated assignment of human readable descriptions (AHRD) [ 32].

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Notably, for Enzyme I, autoNOE-Rosetta achieves a higher level of structural convergence using automated assignments due to enhanced resampling of the correct protein fold during the early stages of the autoNOE-Rosetta structure calculation process.

The H resonance assignments were used for automated assignment of the NOEs identified in the 2D NOESY spectrum using the CANDID protocol implemented in Cyana.

In this volume of Global Health Action, the application of the WHO 2012 verbal autopsy standard (2) and the use of automated assignment of cause of death using the InterVA-4 model (3) ensure more comparable and consistent results.

The 4D-CHAINS assignments are then used to guide automated assignment of long-range NOEs and structure refinement in autoNOE-Rosetta.

But Trulia's McLaughlin insists that using automated estimates of value produces a more accurate picture.

The practical benefit of this method is demonstrated with structure calculations for 23 kDa and 29 kDa test proteins using the automated assignment protocol of CYANA, in which unassigned 4-D time-shared NOESY peak lists produce accurate and well-converged global fold ensembles, whereas 3-D peak lists either fail to converge or produce significantly less accurate folds.

Hiller, S., Joss, R. & Wider, G. Automated NMR assignment of protein side chain resonances using automated projection spectroscopy (APSY).

For each target glycopeptide, GPE is used to generate 20 decoy glycopeptides of isobaric masses, and these decoys can be used for evaluating the false discovery rate (FDR) in automated assignment of glycopeptides by a search engine.

This trial evaluates a mechanism for automated assignment of negation status to concepts parsed from the terminology using a negation ontology.

Here we describe a tool (RTclass1) designed for the fast and accurate automated assignment of novel non-LTR retrotransposons to known or novel clades using phylogenetic analysis of the RT domain protein sequences.

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