The core data set was analyzed for correlations with biological attributes, such as network properties (scale-free, etc)., expressional correlations, gene classification according to GO, and tissue-specific correlations.
In this study, this core data set was expanded to provide greater breadth and depth which included adding measures of somatisation and depression.
The final alignment of the core data set was processed to include only one representative species from each Rickettsiales genus (Odyssella, Midichloria, Neorickettsia, Wolbachia, Anaplasma, Ehrlichia, Orientia, and Rickettsia) plus the RETA core data set proteins.
To determine whether the degree of divergence between the RETA core data set proteins and their homologs in M. mitochondrii is typical for major rickettsial lineages, an approximation of genome divergence across the genera of Rickettsiales and the RETA core data set was calculated.
The robustness of the phylogenetic signal within the core data set was determined by estimating trees from the three sub-data sets (Ric-78, Bac-26, and Euk-9), which were grouped based on top Sm score against three databases (Rickettsiales, Bacteria excluding Rickettsiales, and Eukaryota).
A summary of genome-wide markers and core haplotype distribution in the data set is shown in Table 1.
The second data set is composed of 178 PPARγ agonists with a carboxylic acid core.
The first data set is a collection of 46 PPARγ agonists with the thiazolidinedione (TZD) core.
The third data set is a merger of the first and second data set (i.e., 224 PPARγ agonists mixed with both TZD and carboxylic acid cores).
This consensus data set is more accurate than other predicted data set (Benschop et al. 2010), but there is no information about core and attachment subunits in their data set.
