Sentence examples for pipeline functionality from inspiring English sources

The current LONI Pipeline functionality includes a tool discovery engine, a plugin interface for meta-algorithm design, a grid interface, secure user authentication, data transfers and client-server communications, graphical and batch-mode execution, encapsulation of tools, resources and workflows, and data provenance.

The pipeline functionality includes sentence segmentation, tokenization, part-of-speech tagging, lemmatization and sentence parsing.

We use our findings to extend the flowsim pipeline with functionalities to simulate these errors, and thus enable a more realistic simulation of 454 pyrosequencing data with flowsim.

DK implemented the 3D reconstruction pipeline and positioning functionality.

The Pipeline study-design functionality facilitates the integration of imaging and non-imaging data available in disparate databases, file-systems and spreadsheet formats.

The Pipeline environment provides the functionality of a complete graphical programming language.

The R pipeline described here offers functionality that is not available in CEAS, cisGenome, MICSA and Sole-Search, e.g. distance distribution plots, pairwise distance plots and motif filtering.

To facilitate high throughput evaluation of protein structures, we devised a structural analysis pipeline that assesses the functionality of protein residues using data directly obtained from the atomic coordinates or from computational predictions.

To facilitate the annotation review of genes that may have been missed by the gene prediction pipeline, the 'Phylogenetic profile' functionality can be used to find genes in a genome of interest that are present or missing in other closely related genomes.

By pipeline integration, the deficiencies in functionality of a particular tool may be compensated by the strengths of another.

The first two components of the pipeline are geared to this functionality, while the next three components exploit the segmented features obtained from image data to classify the tissue sample.