Within each cluster there were relatively few home SBA births, leading to much variation between clusters, which is likely to be an artefact of these small numbers.
The results provide insights into the relationship between the topological clusters which are based on the direct connections between the nodes, and the dynamical clusters which are based on the functional behavior of these nodes.
Furthermore, in flies, TF binding differences between species are highly correlated when they occur in combinatorial clusters, which are preferentially maintained between species and may be linked to chromatin accessibility via binding of the TF vfl (also known as Zelda) (Bradley et al., 2010; Harrison et al., 2011; Nien et al., 2011).
In Algorithm 1, the procedure from Step 3 to Step 14 shows how to construct orthogonal groups using input information from Steps 1 and 2. With the divide and conquer design paradigm, we divide the orthogonal groups into several orthogonal clusters which are outlined between Step 15 and Step 19, with each orthogonal cluster containing the same number of groups.
MERLIN models the LD between markers by organizing SNPs into clusters which are then treated as multi-allelic markers in analyses.
The gray number next to each meta-edge is the total numbers of all edges existing between the members of the two clusters, which are also reflected in the thickness of the meta-edge.
Whereas some of these motifs were found to be distributed apparently randomly in the respective 3'UTRs, others were found to be arrayed in clusters which are highly conserved between different vertebrate species.
As we are interested in synteny (beyond homology statements between genes), we are not interested in clusters which are smaller than two genes, nodes in the dendrogram which contain fewer than two genes are not tested.
These numbers suggest very high redundancy and overlap between UniGene clusters, which is surprising given that clusters are expected to correlate with different genes.
