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ML analyses of each datasets were performed using RAxML 7.0.3 (Stamatakis et al. 2008), with the GTR + Γ model of sequence evolution selected and the option of a rapid bootstrap analyses (1000 replicates) and a search for the best-scoring tree in a single program run.
We have performed a search of putative TFBS separately for up or down regulated genes of each datasets.
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The spatial extent of each dataset is shown in 1a.
The details of each dataset and associated pre-processing are described below.
While inquiry of each dataset separately often provides insights, integrative analysis may reveal more holistic, systems-level findings.
But the portal only gives data at the level of government department, while data at the level of each dataset would give us a much better idea of how it was being used.
Our proposal relies on the use of simple local methods that gather information about the local structure of each dataset.
A summary of each dataset, including a brief description, spatial and temporal resolutions, and spatial and temporal limits, is also offered.
This resulted in 30% decreases of each dataset.
The composition of each dataset is shown in Table 1.
The detailed description of each dataset is described below.
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