Sentence examples for datasets analysis of from inspiring English sources

The catRAPID omics server offers unique features such as organism-specific proteomic and transcriptomic libraries, possibility to generate custom datasets, analysis of long sequences and calculation of interaction specificities.

For the CTCF datasets, analysis of chromosome 1 took less than half an hour with the binary range tree compared to more than 5 days without it (in Additional file 1: Table S4).

In the case of the BL-Y1 dataset, analysis of the effect of hygienic behavior was done adjusting for population of origin.

Clustering analysis was performed by using ChemMine tool and the steps involved in clustering methodology are: dataset generation, correctly selecting the similarity measurement, clustering of the dataset, analysis of the data, and, eventually, visualization of the clustered data (38, 39).

Clustering methodology involves the generation of appropriate dataset, selection of correct similarity measurement, clustering of the dataset, analysis of the data and finally visualization of the clustered data (37).

In short, one of the main functionalities of CrossCheck is its service as a multi-faceted centralized database of low- and high-throughput screening datasets that can be effortlessly mined, thereby significantly accelerating high-throughput dataset analysis independent of the database type or experimental source of the data.

We choose ST1 to ST278 of the MLST database as a comparative dataset for analysis of isolates characterized in this study.

As we have information on housing changes within many census blocks per MSA, this dataset allows analysis of process of densification as well as urban expansion.

For the biological dataset, detailed analysis of the results suggests that DPC uncovers more biologically relevant regulatory relationships than the competing method SVAR.

7. Compilation and checking of data from the participating sites, and maintenance of the central dataset 8. Analysis of multi-site data.

Here we present a summary of the microarray dataset, including analysis of tissue-specific gene expression profiles and associated expression profiles of relevant metabolic pathways.