Sentence examples for datasets query from inspiring English sources

In addition to seeing the query results for the entire theoretical genome, the Gene Predictions and Experimental Datasets query allows for the selection of proteins based on the type of gene prediction method or by only experimentally derived proteins.

However, query times and computational resources required to perform such queries will be additive in the number of datasets queried.

The computational analysis results were verified by dataset query of known differentially expressed genes.

The expression data is deposited at Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/) as GEO dataset query GSE56509.

For dataset query, we enabled simple searches to display results in downloadable formats as previously described [ 17].

Through the Central BioMart Portal, other datasets can be merged with a Reactome dataset query, such as PRIDE, COSMIC, International Knockout Mouse Consortium (IKMC) Projects (Table 3), Vectorbase and Wellcome Trust Sanger Institute (WTSI) Mouse Genetics Project (30 35).

The Expression Dataset Query window (Fig. 4C) was used to search for genes that are positively or negatively correlated with at least two genes in the seed network at a |0.65| Spearman Rank correlation cutoff in at least two out of the five datasets.

These tumor cells appeared to maintain their expression profile during long-term growth as indicated by the relative array signal levels of the genes in Figure 3. Dataset query confirmed that LuCaP 49 was negative for androgen receptor (AR), KLK3, whereas LuCaP 35 was positive for these two markers.

The specific procedure within BioNetwork Bench is as follows: using the Expression Dataset Query window (example is shown in Fig. 4C) each of the seed network genes was entered, the "Any" radio button was selected (instead of "All"), and the "calculate" field was set to "All Correlated Nodes" (instead of "Only Positively Correlated Nodes" or "Only Negatively Correlated Nodes").

Also the synthetic DNA Barcode sequences are divided into reference dataset and query dataset, which include 16 and 4 sequences for species, respectively.

We will also focus on new interfaces that further simplify multiple dataset querying.