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With advances in genomics tools, this study aims to identify resistance loci associated with BB resistance and useful SNP markers to track these loci, and determine new genetics donors through GWAS.
Using a set of analytic tools, this study describes two e-book learning platforms in terms of platform affordances, digital architecture of e-books, functionality of screen pages and dashboard analytics.
Using time series Landsat imagery, socioeconomic data and, other geospatial information with ecological analysis tools, this study quantifies and characterize the spatial-temporal landscape patterns and urban growth trajectory across the five selected sites.
Using powerful genomic tools, this study has reduced the total number of 6,860 currently known H. glycines genes to a pool of 788 candidate genes, from which additional true parasitism genes can be identified in future studies.
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Considering the fact that mission statements are an elementary strategic tool, this study can be a good starting point for all these necessary studies.
However, for lecturers or faculty interested in using narratives especially stories as a teaching tool, this study may offer greater awareness of their potential and some guidance in how to use them in a more focused way.
As we did not seek ethics approval to conduct concealed audio or video recordings and instead relied on researchers to remember details of each encounter before completing the data collection tool, this study was subject to recall bias.
Because the equations and algorithms that generate the fracture risk probabilities have not been published for the FRAX tool, this study could not investigate the relative importance of individual FRAX clinical risk factors in fracture prediction.
We have considered several state of the art mutation extraction tools in this study, as introduced in the Text mining tools for genetic variant extraction section above.
To facilitate future analysis of tool performance, each tool in this study was evaluated for its computing performance (Table 3) in addition to SV prediction assessment.
Causal Layered Analysis (CLA) is one of the primary qualitative research tools in this study.
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CEO of Professional Science Editing for Scientists @ prosciediting.com