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For discussion on the faunistic affinities we compared the vesicomyid fauna of eight large regions of the World Ocean using a presence-absence data set (Table 1).
One of the main reasons why such an evaluation was not performed in the past was the absence of appropriate data sets.
Species distribution models are numerical tools that combine observations of species (either presence or presence and absence data) in a set of locations with environmental variables to obtain ecological and evolutionary insights and to predict distributions across landscapes [ 11, 15].
In silico simulations of metagenomic data provide a means to perform these evaluations in the absence of gold-standard data sets and fully characterized communities.
This was primarily justified by the absence of appropriate quantitative data sets to undertake more orthodox forms of analysis, but also by the innovative contributions that recent studies have shown qualitative information from market actors can offer to this kind of investigation (Ranson et al. 2012; Russo and McPake 2010).
Validation is certainly an important component in vulnerability assessment studies [ 37], but the next step, in the absence of comprehensive local data sets, could be to consult local Tibetan stakeholders and relevant professionals, obtain feedback on the heat vulnerability maps, and modify as appropriate variable selection and other aspects of the analysis.
In many data sets, the absence of a particular taxon indicates that the data for this taxon were simply not collected.
The presence or absence of subsystems between two data sets was determined using 20,000 replicates of samples of 5,000 subsystems each.
This is notwithstanding the fact that even in the absence of large scaffolded WGS data sets it is still possible to obtain highly valuable complete exome predictions that also make use of transcriptome data sets and improved gene prediction models.
In addition to the absence of publicly available expression data sets for these studies, neither reported any measure of enediyne-induced cytotoxicity or other biological response that could be used to normalize the resulting transcriptional data.
The 10 sets of absence data were randomly selected from the background and from 6 15 kilometers beyond the presence sites.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com