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PTSD is a highly heterogeneous disorder, so that multiple types of molecular data, such as genotype, gene expression or DNA methylation1, may be needed to gain a deeper insight into the underlying molecular signatures contributing to the PTSD development.
We can also integrate this with other layers of high-throughput molecular data, such as ATAC-seq - to study chromatin accessibility - and HiChIP - a novel method for sensitive and efficient analysis of protein-centric chromosome conformation.
Conventional cladistics, on the other hand, usually look to an organism's overall morphology or molecular data such as DNA sequences.
Nonetheless, very preliminary analyses using paleoclimatic projections of niche models are casting doubt on issues that had been "decided" based on molecular data, such as the pre-Pleistocene nature of vertebrate speciation in the Amazon Basin (Bonaccorso et al. 2006; Peterson and Nyári 2007) and the exceptional age of the Sahara Desert as a biogeographic barrier (Nyári et al. 2010).
Since there are no defined rules and guidelines for submitting molecular data in a supporting document associated with research publications, the authors are free to choose their favorite methods of representing molecular data such as chemical structures and corresponding atomic co-ordinates in the supplementary data file.
Molecular data such as these may be useful for correcting ladderized thinking because DNA and protein sequences are likely to evolve at similar rates along different evolutionary lineages; this may prevent students from inferring that one extant species is the ancestor of another extant species (Omland et al. 2008).
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The molecular data supporting such a placement is inconclusive, and we prefer to recognize the traditional Aceraceae at least until more evidence is available.
Jmol is implemented as a Java applet and includes a custom rendering engine for efficiently rendering common molecular data representations, such as spheres and sticks.
Prior to the molecular revolution, phylogenetic data were comparatively limited, with only morphology being generally available (ignoring early molecular data sources such as DNA-DNA hybridization or immunogenetic and serological data).
This morphology-based criterion has been used to identify several monophyletic groups of dinoflagellates, some of which have been corroborated with molecular phylogenetic data, such as the Suessiales, the Gonyaulacales, the Dinophysiales, the Prorocentrales, and the Gymnodiniales sensu stricto [12] [14], [20], [21], [24], [29], [35], [36].
It is also applicable to comparative analysis of molecular expression data, such as time course data.
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