Sentence examples for assay pipeline from inspiring English sources

Next, to further test ETA, a prototype high-throughput hydrolase and oxidoreductase assay pipeline provided 36 enzymes annotated with EC class, subclass, and sub-subclass (the first three EC digits) [12] provided an experimental gold standard (Dataset S7).

To screen for small molecule inhibitors of MSI1 RNA-binding activity, we developed an in vitro assay pipeline amenable to high throughput measurements.

The study of epigenetic regulation when there is PTM of regulatory transcription factors is still in its infancy and there remains a need for new and improved screening tools as well as the development of assay pipelines.

Program scripts from a published HELP assay bioinformatics pipeline available through bioconductor were utilized for processing HELP data.

Except for 1,389 markers which failed to pass manufacturer assay production pipeline, we intentionally kept all remaining 56,947 markers without any other filtering.

Of 949 candidate eSNPs selected from non-repetitive genome contigs, 813 passed the design rules of the SNPlex assay-design pipeline and were tested in 90 F1 progeny of Syrah × Pinot Noir (ENTAV 115) cross and in the two parental genotypes.

The in vivo assays in a pipeline are designed to detect a wide range of phenotypes, but each assay probes a specific aspect of the phenome and in few cases do assays provide definitive diagnostic or aetiological information about the overall disease process in the whole organism.

In summary, the ASE pipeline assayed in two contrasting conditions yielded a list of promising genes for further study.

SL designed the assay, experiments and analysis pipeline; participated in assay experiments; analyzed the data; and drafted the manuscript.

How are users of SeqZip to know that the pool they design meets the requirements of the assay and the analysis pipeline?

Such programmes provide important insights into the logistics of mouse production and phenotyping, the use of the assays in the phenotyping pipeline for disease model identification, the sensitivity of the assays, and the bioinformatics issues of data capture, analysis and dissemination.