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Not only does meta-analysis help to confirm the existence of declared QTL from various studies by creating possible hotspots where QTL from the same trait aggregate but it can imply the existence of pleotropic traits by creating QTL clusters for various traits.
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R0 and other seed regions, consisting of the genes x i (i1 ≤ i ≤ i n) and y j (j1 ≤ j ≤ j m), may not have the correct boundaries as a gene cluster for various reasons, particularly when part of the cluster has a reversed orientation in the gene order.
Several other gene clusters important for various functions were on average similar in diapause and pre-diapause.
Furthermore, by varying the threshold on the matching score, we show in Figure 6 the F-measure graphs based on protein clusters predicted for various protein interaction networks.
These are involved with the processes of cell migration/locomotion/chemotaxis, lymphocyte activation and differentiation, and apoptosis and its regulation – the statistics for enrichment of these clusters for the various mutant groups (with up-and down-regulated genes for each mutant treated both as separate gene sets and as a single group) are detailed in Table S2.
(PNG 165 kb) Additional file 10: Graphical impressions of representative tag clusters for the various promoter classes.
Moreover, Eldridge et al. (2006) [ 45] showed how coefficient of variation of a cluster size can be used to deduce the possible effect of unequal cluster sizes for various types of analyses and both continuous and binary outcomes.
Understanding emerging megatrends and trends has always been a vital issue for industries, for value networks and for the clusters of various industry branches.
Understanding emerging megatrends and trends has always been a vital issue for industries, for value networks and for the clusters of various industry branches, because big and rapid scientific and technological advances in continuous growth fields have been generated by a clear dynamism within the global competitiveness and by searching for new knowledge frontiers [1].
This computational protocol has been used to predict the domain organization and substrate specificity for PKS clusters from various microbial genomes.
Exact construction of one electron eigenstates with flat, non-dispersive bands, and localized over clusters of various sizes is reported for a class of quasi-one-dimensional looped networks.
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