All slope-related spatial information (vector or raster dataset) was integrated in the system, by dividing the study area into slope units and assuming the initial slip to be the lower part of an ellipsoid.
By doing so, information embedded in other datasets is integrated into the network construction, while the effective search space of potential regulators is significantly reduced.
High-resolution datasets were integrated using iMOSFLM [34], followed by scaling and merging with POINTLESS and AIMLESS [35] in the CCP4 suite [36].
For cases in which a relatively manageable number of site-level datasets are integrated, merging can often be done manually and well informed quality control and assurance can be completed using expert knowledge of individual datasets.
Finally, 7090 genes, including the genes in the core dataset, were integrated together as a most comprehensive IQ-associated gene list.
In-house algorithms and databases developed independently by various academic groups in CamBan are used to generate Mtb-specific datasets and are integrated in this database to provide a structural dimension to studies on tuberculosis.
The system-wide profiling of protein post-translational modifications, for example phosphorylation, glycosylation or acetylation, as well as the influence of thousands of metabolites on the phenotypic appearance of a cell provide additional, very powerful datasets that could be integrated in current post-GWAS workflows.
Together, these different approaches provide complementary views of the dataset that can now be integrated in a comprehensive, fully probabilistic pipeline for metabolome data annotation.
