Sentence examples for datasets were recovered from inspiring English sources

The three species delimited from the mitochondrial and ITS2 datasets were recovered as distinct clades of ITS1 sequences: the monophyly of species B was very strongly supported (>98% bootstrap support using all three methods), whereas the monophyly of species C received weaker bootstrap support and the monophyly of species A was very weakly supported.

All lineages identified with the mtDNA dataset were recovered, although some of the relationships between them were altered.

As the vast majority of leachate compositions in the wider dataset were recovered after tephra deposition had abated, it is difficult to draw any comparison between a small number of time-specific samples, representing the leachate chemistry of a single moment or period of the eruption, to samples which represent that of the whole eruption.

Among these, no prediction matching either the new miRNAs described by Rajagopalan et al. or the miRBase dataset was recovered.

In agreement with the mitochondrial dataset, two divergent clades were recovered: one from open vegetation areas ("grassland clade") and the other from forests ("forest clade"), although the later includes a single haplotype (VI) from the transition zone previously mentioned.

Phylogenetic analysis of the first dataset revealed that all MdEXPs were recovered as a monophyletic group with high support (BV = 99, PP = 1.00).

All 19 loggers were recovered and full datasets were downloaded successfully from all devices.

Many phosphorylation motifs were recovered by analyzing datasets consisting of protein targets of kinases such as Cdc28, the catalytic subunit of the main cyclin-dependent kinase (CDK) in yeast.

The topologies identical to T1 were recovered with a dataset of putative core genes through different phylogenetic reconstruction methods (ML and NJ).

Three genetic clusters were recovered for this dataset, and all individuals in each population were assigned to these clusters to varying degrees (Fig.  3).

The other 12 eQTL hotspots overlapped with the 13 eQTL hotspots that had been reported in previous analyses of the same dataset; all 13 previous eQTL hotspots were recovered as two previously discovered eQTL hotspots were combined in our analysis [ 8, 9, 17].