The data produced in the studies of air pollution, ozone exceedance, ground water contamination, avian population monitoring, boreal treeline dynamics, aquatic bacterial abundance, conservation biology, marine and fresh water fish populations, etc. can be analyzed using GLM.
Moreover, at least one of the methods (genomic context) relies on the principle of genome organization that can only be strictly applied to bacterial genomes (conservation of genomic intergene proximity).
The tree was constructed using E. coli positions 37 1461, using a general bacterial 50% conservation filter provided with the latest release of the ARB-SILVA database.
In O55:H7, the inferred ancestor of O157 H7 [ 53], the proportion of Sakai phage to bacterial gene conservation was opposite from the proportion observed in EHEC 2; this suggests that Sakai bacterial genes have been vertically acquired from the O55:H7 progenitor and are not disseminated among the EHEC 2 clone.
In bacterial co-conservation networks, hubs tended to interact with other hubs.
Here, the topological properties of bacterial co-conservation networks and their relationship to function are examined.
This assertion was not true in the bacterial co-conservation networks.
We find that bacterial co-conservation networks show both biologically important similarities and differences with yeast PPI networks.
The topology of bacterial Co-Conservation networks exhibited interesting similarities and differences as a function of reference genomes.
Like many other biological networks [ 22, 25, 31], the bacterial co-conservation networks using difference reference sets were all scale-free (Additional file 1).
