Sentence examples for powerful in the identification of from inspiring English sources

Systematic functional genetics/genomics is powerful in the identification of genetic components of biological processes and their interactions.

This indicates that ExonFinder is particularly powerful in the identification of novel exons/ASVs in poorly annotated species by using closely related species with abundant EST traces.

Immunoaggregation may be very powerful in the identification of a suspected or novel agent or with small, dispersed virions (7, 13, 16 ).

Recently, the differential analysis of 2D-NMR spectra has been shown to be powerful in the identification of new compounds from (residually) complex natural product mixtures.

The EMS technique is powerful in the identification of the electrochemical reaction products or intermediates, leading to extensive applications in bioanalysis and mechanistic studies of redox reactions.

Among these technologies, whole exome or genome sequencing will be very powerful in the identification of causal mutations in multiplex families with KC [ 266– 266].

Genetic and molecular approaches are powerful tools in the identification of a multitude of genes involved in abiotic stress response and tolerance.

Finally, mosaic screens for recessive mutations have proven a powerful tool in the identification of genes that function during normal imaginal disc growth (St Johnston 2002).

Genome-wide association studies (GWAS) can be a powerful tool in the identification of specific allele variants that confer improved resistance to various diseases in maize.

Given the evidence outlined in this report, we conclude that the experimental protocol described herein has the potential to be an extremely powerful tool in the identification of synthetic target structures for the recognition of a wide variety of analytes.

Our results illustrate that the integration of array-based profiling at DNA, RNA and tissue levels is a powerful strategy in the identification of amplified genes with simultaneous overexpression, and highlights the significance of in silico data mining opportunities in providing further evidence of putative activated genes involved in cancer progression.