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Consistent patterns of strong lineage divergence among different molecular datasets indicate genetic breaks between populations inhabiting geographically distinct mountain regions.
Analyses of morphological and molecular datasets indicate that unionoid bivalves, together with trigonioid bivalves, compose a monophyletic subclass, the Paleoheterodonta, [ 44- 49].
Together, our morphological and molecular datasets indicate that the ER gene is required to constrain WUS mRNA expression in jba-1D/+ meristems.
Despite the small spatial scale and past intermittent connectivity of Australian alpine and sub-alpine habitats, consistent patterns of divergence among the two molecular datasets indicate differentiation, associated with geographic breaks in alpine/sub-alpine habitat, that has persisted through glacial cycles and into the present.
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The KH test carried out with our datasets indicated a congruence of the data with recent molecular phylogenies of pancrustaceans based on nuclear gene sequences [ 21- 23] and not with those based on mitochondrial genes [ 18- 20].
TCGA molecular datasets were downloaded from the Broad GDAC database (https://gdac.broadinstitute.org/).org/
Since the 1990s, platyrrhine phylogenetic studies have increasingly analyzed DNA sequences, or other molecular datasets.
The other approach to visualization of molecular datasets is hierarchical visualization.
From Figure 1a, we note that initially toxics outnumber other molecular datasets in generating features.
We have designed and implemented a new approach for scaffold-based hierarchical visualization of molecular datasets.
Five different types of biologically relevant molecular datasets have been considered in this study.
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