Significant differences between sub-clusters were tested using a SIMPROF analysis (Yoshioka, 2008).
Given the different ecological and climatic conditions in the region, the outcome of farmer selection for traits such as panicle length, tillering, plant height, yield, taste, swelling, and ease of threshing may possibly have contributed to the genetic differences between sub-clusters 4-1 and 4-2.
GRAPH9 was used to flag bridges (articulation points where the removal of an EST breaks the link between sub-clusters) and manually split the large graph into distinct smaller sub-graphs.
Average similarity between the two major clusters was 20%, while that between the two sub clusters was 34%.
The transitions between the 7- cluster and 4- cluster solutions include the merger of two sub clusters into Cluster 1 and the merger of three sub clusters into Cluster 3.
Sub clusters shaded with colors or bars.
Furthermore, we reported a possible relation between a sub-cluster of genes and manic symptomatology (B.C.M. Haarman et al. 2014a) in BD.
Average values of the difference measures were calculated within (intra) and between (inter) sub-clusters of an orthologue group and compared.
For Cluster 1, one small sub cluster of only 3 individuals was merged into an existing sub cluster of 33 individuals, rendering Cluster 1 relatively stable between the 7- cluster and the 4-cluster solutions as well.
The two data structures are designed to find the matching sub-clusters between different clusterings and to obtain the final set of clusters through a coherent merging process.
Although the average robustness values over the whole spectrum of sub-cluster structures were relatively similar between the three response metrics, the DSS-TAS combination resulted in the most consistent cluster solution over the bootstrap samples.
