Sentence examples for molecular datasets generated from inspiring English sources

KEGG (http://www.genome.jp/kegg/) is a database resource for understanding functions and utilities of the biological system from molecular-level information, especially large-scale molecular datasets generated by genome sequencing.

Gene set enrichment is widely used for the analysis and interpretation of the large molecular datasets generated by modern biomedical science (Hung et al., 2012; Khatri et al., 2012).

KEGG is a database resource for understanding high-level functions and utilities of biological systems, such as cells, organisms and ecosystems, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-through put experimental technologies (http://www.genome.jp/kegg/).jp/kegg/

KEGG is a database resource for understanding high-level functions and utilities of the biological system, such as the cell, the organism and the ecosystem, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies (http://www.genome.jp/kegg/).jp/kegg/

KEGG is a database resource for understanding high-level functions and utilities of the biological system, such as the cell, the organism and the ecosystem, from molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-through put experimental technologies (http://www.genome.jp/kegg/).jp/kegg/

KEGG is a database resource meant to facilitate understanding of the high-level functions and utilities of biological systems, such as the cells, organisms, and ecosystems, using molecular-level information, especially large-scale molecular datasets generated by genome sequencing and other high-throughput experimental technologies (http://www.genome.jp/kegg/).jp/kegg/

This is the largest and most extensive molecular dataset generated in chickpea, which detected 1683 alleles with high gene diversity, and large number of rare, common, and unique alleles.

From Figure 1a, we note that initially toxics outnumber other molecular datasets in generating features.

The goal of this analysis was to assemble all currently available TNBC gene expression datasets generated on Affymetrix gene chips and search for molecular structures in the data to define gene expression-based subsets within TNBC.

Dense genome-wide SNP datasets generated by GBS can be used to estimate chromosome-wide molecular diversity and population structure very precisely.

The datasets generated in Experiment 1 and 2 are available from the corresponding author upon request.