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However, this biomarker is a useful research tool in efforts to understand and detect the health impacts of environmental lead exposure.
Species interaction analysis could also help us understand and detect cooperative effects, where two or more populations or species cooperate to supply each other's nutritional needs, often by metabolizing compounds that each species or population is unable to biodegrade alone.
To better understand and detect the co-complexed relationship among proteins, the screening technique of affinity purification followed by mass spectrometry (AP-MS) has been designed and applied by two research groups to detect the full yeast interactome (Gavin et al., 2006; Krogan et al., 2006).
Given the recent improvements in mass-spectrometry-based proteomics and stronger cooperation between researchers, clinicians and statisticians, both peptide-based (bottom-up) strategies and whole-protein-based (top-down) strategies are set to complement each other and help researchers and clinicians better understand and detect complex disease phenotypes.
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The results show that some given algorithms are effective enough and our system can definitely identify a lot of potentially very valuable information in time which greatly help network administrators to understand regular applications and detect network anomalies.
In order to better understand cell heterogeneity and detect rare interesting cells in a large population, methods that are capable of rapidly analyzing single cells are desired.
To understand transmission patterns and detect outbreaks of VTEC O157 H7, subtyping methods such as phage typing and PFGE have commonly been used [ 4- 8].
Heterogeneous methylation is a complex phenomenon suggestive of epigenetic instability due to incomplete methylation of alleles; however, it is poorly understood and variably detected by existing methodologies [ 102].
When local resource users detect, understand, and respond to environmental change they can more effectively manage environmental resources.
When found, these molecular signatures, or biomarkers, provide novel ways to detect, understand and, perhaps, treat disease.
A Likert-type scale is appropriate for detecting these changes in impacts, as it is easy for respondents to understand and still sensitive enough to detect subtle changes [26].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com