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This advantage would be powerful for analyzing the biological or medical samples in vivo.
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This strategy is powerful for analyzing essential genes, whose disruption brings lethality to the mutant cell.
Alignment-free methods based on sequence signatures are powerful for analyzing genomic data without using reference genomes.
Methods from multivariate data analysis are powerful tools for analyzing such data and for creating mathematical models; this is the essential part of today's chemometrics [1].
DNA site-specific recombinases (SSRs) such as Cre, FLPe, and φC31, are powerful tools for analyzing gene function in vertebrates.
Proteomic approaches are powerful tools for analyzing proteins in complex mixtures.
Integrated network approaches are powerful tools for analyzing complex high-throughput data.
Skeletons are powerful descriptors for analyzing plant networks, if applied with care.
Quantitative population genetic theories of mutational pressure and genetic drift are powerful tools for analyzing such situations that demonstrate the limits of purely adaptationist assumptions [ 56, 103, 104].
Solution nuclear magnetic resonance (NMR) is powerful for PPI analysis and recently it has been applied to analyze protein conformation changes in living cells (Hansel et al., 2014).
Enrichment techniques can be powerful tools in analyzing data.
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