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Numerous methods and tools have been developed for the analysis of metagenomic data.
Numerous methods and algorithms have been proposed to solve this problem.
Numerous methods and protocols are available for various research intentions and aims, but there are no data indicating which of these methods and resources are generally used.
Today, numerous methods and tools exist for analyzing gene expression data.
Numerous methods and types of data can be used to infer phylogeny.
It has been well documented via numerous methods and observations that inflammation plays an important role in AD pathogenesis.
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Numerous methods, models and tools exist.
Numerous methods exist, and each reflects particular properties of the organism studied [ 1].
This, in turn, has sparked the development of numerous methods for bioinformatic and statistics-driven interpretation and visualization of immune repertoires.
Archaeologists have devised numerous methods for measuring and describing past human-environmental interactions, but connecting historic case studies with present-day global concerns often proves challenging.
The software package R [ 48] offers numerous methods for statistical and graphical data interpretations.
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