Sentence examples for duplicate cluster from inspiring English sources

By subtracting one representative per duplicate cluster, we estimated the overall duplicate rate for D.labrax to be 20.18%.

Large bF value for a duplicate cluster is indicative of altered functional constraints at many amino acid positions whereas bF ≈ 0 indicates that there was no significant shift in function from an ancestral function after gene duplication.

The long bF of UCP1 and UCP3 and UCP3L (to a lesser extent) indicates substantial altered functional constraints in these clusters whereas virtual zero of UCP2 bF indicated that the evolutionary rate at each site in this duplicate cluster is almost identical to the ancestral gene.

For example, the clade formed by genes in TD-BX gene clusters suggests either HGT from Chaetothyriomycetida to an ancestor of B. compniacensis or retention of an ancient duplicate cluster by B. compniacensis and E. dermatitidis, but not by other Dothideomycetes or Chaetothyriomycetida genomes.

The PhyML topologies of the RIN and PYG gene families are shown as examples in Figure 2. Several gene families also have teleost-specific duplicate clusters, supporting subsequent duplications in 3R, see for example PYGM and RIN2 clusters in Figure 2 as well as the teleost FLRT1 orthologs (see Additional file 2, Figure S4).

Benchmarking on reference-free metagenome datasets would have resulted in a set of duplicate clusters and an expected duplication rate but would give no indication of the accuracy of each method for duplicate detection.

Unsupervised hierarchical cluster analysis showed that all duplicate clustered together despite being on different plates.

With this approach, however, a few well described duplicate clusters are not identified.

Of all duplicate clusters, 75% contain two, another 18% contain three and 5% contain four flowgrams.

Only well defined singleton and duplicate clusters were used, i.e. not the fused (2 singletons, 3 duplicates) and mixed (1 singleton, 3 duplicates) clusters, giving a data set of 204 orthologs across 113 organisms.

The Jaccard index (4) can be used to compute the degree of similarity between the real set of true duplicate clusters (from our reference, see Section 2.2) and the set of duplicate clusters identified by the respective clustering algorithm.