Sentence examples for develop a taxonomic from inspiring English sources
Consecutive clinic attendees were sampled on random days and conceptual models of mental distress were examined, using semi-structured interviews, in order to develop a taxonomic model in which each category was associated with a unique pattern of symptoms, treatment preferences and coping strategies.
Saxton et al. (2013) developed a taxonomic theory of crowdsourcing and found nine distinct forms of crowdsourcing models.
We begin with genome and metagenome simulations to assess performance on datasets manifesting different read length, coverage and taxonomic diversity and we develop a weighted taxonomic distance to evaluate concordance between pathways predicted using environmental sequence information and reference pathways in the MetayCyc database.
To evaluate concordance between pathways predicted using environmental sequence information and reference pathways in the MetaCyc database we developed a weighted taxonomic distance (WTD) algorithm.
Here, we have leveraged the systematic annotation of dates associated with scientific names to develop a mechanism to explore taxonomic trends.
Then for any rooting, there must exist a subtree containing either { a1, a2} or { b1, b2}, and the subrank must be equal to that of T. We now develop a more robust definition of taxonomic root, which will require several definitions.
We have especially focused on developing an elaborate taxonomic tree search tool that allows the user to instantaneously identify e.g. the closest relative to the organism of interest.
In fact, such methodology is highly flexible and its conception can be developed beyond a taxonomic schema to describe procedures.
We also develop the first formalism for taxonomic rooting of phylogenetic trees, show that the obvious definition is useless in the presence of nonconvexity, and develop a more robust definition.
Our aim is to develop an approach to genetic biodiversity that is computationally efficient and enables quantitative display of affinities at various taxonomic scales.
The FAE relative specificities of the 34 Ascomycota of Table 1 were evaluated as descriptors for developing a model to predict the taxonomic ranks (Class, Order, Family) for each strain.
