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Over time, these network analyses will be enriched by the use of broader data sets (for multiple doses and times of treatment) and from the use of multiple data streams e.g., ChIP-seq and metabolomics.
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Understanding the evolutionary relationship between Nav and Nav-like channels may shed light on the development of ion selectivity, and requires a broad data set for phylogenetic analysis.
We should note that the present study engaged a substantially broader data set and more diverse methods for tree construction.
Within that broader data set, however, there is an indication of what the future may hold.
Still, a broader data set is not meaningful in and of itself.
As explored through several examples, however, we find that slope control formulations are inconsistently demonstrated for broad data sets.
To provide a broader mtDNA data set for evolutionary rate analysis, we collected additional mtDNA protein-coding gene sequences for PS1579 and P. davidi CB1; data examined includes sequences from Cytochrome b, Cytochrome Oxidase I (COI), ND1 and ND5; 2,247 bp, 749 codons total.
Building on the JD-R model and on a broad data set with three times of measurement, the present study combined both a theory-driven, deductive approach and a data-driven, inductive approach for the selection of common indicators.
To evaluate phylogenetic informativeness as a procedure for selecting loci to sequence for phylogenetic studies that incorporate broad taxon sampling, we utilized empirical data sets for which the process of evolution may only be approximated, as well as simulated data for which we could specify the process and the true tree.
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