Sentence examples for mining of gene from inspiring English sources

Our analysis uses a computational approach that combines text-mining of PubMed abstracts for potentially relevant genes, and extensive mining of gene annotation data.

Previous computational efforts have demonstrated the feasibility of identifying evolutionarily conserved functional modules through the mining of gene co-expressions, protein interactions, or phenotypes across species [ 17- 19].

The approach both facilitates and significantly speeds up data analysis in comparison to a traditional gene-by-gene analysis approach of the most differentially expressed genes and manual mining of gene regulatory interaction information available at public repositories.

In this study, we introduce a novel subject-specialized database, namely the tissue-specific genes database (TiSGeD), which particularly provides information of tissue-specific genes derived from literature and data mining of gene expression profiles.

6 Data mining of gene expression subnetworks Functional annotation enrichment analysis using the web tool DAVID revealed that the first subnetwork was enriched for mitochondrial functions including genes coding for electron transport chain, oxidation reduction, ATP biosynthesis, and cellular and mitochondrial ribosomes, while second one was enriched for annotations related to immune function.

Originally applied to Arabidopsis stress responses, detailed informatics mining of gene expression profiling data and targeted metabolite measurements induced by deficiency of sulfur and nitrogen led to the identification of previously unknown molecular players involved in glucosinolate biosynthesis (Hirai et al. 2005).

Furthermore, data mining of genes expressed correlating with in vivo bone formation represented involvement in neurogenic processes and Wnt signaling.

Figure 7 illustrates the flow chart of the mining of gene-expression correlation based on metabolite correlation pairs.

Genome-wide literature mining of gene-to-gene interactions allows ranking of the best gene interactions and investigation of comprehensive biological networks at a genome level.

A genome-wide literature mining of gene-to-gene interactions allows ranking of the best gene interactions and investigation of comprehensive biological networks at a genome level.

This has enabled the mining of genes that are possibly involved in taproot development.