Sentence examples for genomic expression data from inspiring English sources

Visualization of genomic expression data, generated with human genome tilling arrays [30], shows that this particular Made1 is inserted into an intergenic region of the genome that is transcriptionally active (Figure 3).

Human genomic expression data from Affymetrix tiling GeneChips [30], represented in the UCSC Genome Browser, were evaluated in order to identify transcriptionally active regions of the human genome.

This is due to the fact that true consensus binding motifs are usually short and degenerate, hence contributing less information than genomic expression data, especially when that data is combined from several experiments.

AG carried out the de-convolution of the genomic expression data.

SAM (Significance Analysis of Microarrays), a supervised learning software for genomic expression data mining [ 97], was used to identify genes showing significant differential expression patterns.

Developing genomic based biomarkers for breast cancer prognosis is an active research area with clinicians and researchers considering genomic expression data as a potential valuable source of information to be mined for such markers.

Thus, it is important to use both genomic and expression data sets to complement each other as genomic variants which ultimately alter gene functions other than expression may not be detected [ 74].

Note that although our inference of 1 1 correspondence between our 'TEP5' and 'TEP6' sequences and those currently annotated in the genome may prove incorrect (e.g. as more informative genomic and expression data become available), this does not affect any inferences regarding genetic exchange.

On comparing genomic expression profiling data between 16 novel cell lines of varying grade developed in our laboratory and 51 breast epithelial cell lines established by others, unlike UCP2, all other UCP family members were not differentially expressed in high versus low/intermediate-grade cell lines.

Here, we integrate the traits of sugar accumulation and lignocellulose content with genomic and expression data of the three species, sugarcane, sorghum, and rice.

Genomic and expression data are MIAME-compliant (http://www.mged.org/Workgroups/MIAME/miame.html) and the raw data have been deposited in the MIAME-compliant GEO database (GSE23720).