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Most of the conventional approaches are not introduced to support the smaller number of mobile cloud users because many resources are required, making these approaches unsuccessful in real situations.
Unfortunately, structural information is available only for a small fraction of protein kinases, making these approaches not suitable for whole kinome analysis.
In reality, the boundary of the binding site is not known or is dependent on the bound ligand making these approaches limited.
Generating thoroughly validated data in addition to a close dialog with regulators is pivotal to making these approaches viable in the regulatory environment.
Making these approaches work requires on-going surveillance (Brogdon and McAllister 1998; Kelly-Hope et al. 2008) and a level of application management that is frequently problematic in regions where the malaria problem is most severe.
Direct mapping methods that do not use recombination mapping are often labor-intensive and/or expensive, making these approaches suitable only for mapping a small number of mutations of high interest.
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However, rapid advances since 2013 have made these approaches particularly relevant to assessing genetic architecture.
The natural semantics of these systems and their ability to reason about default rules make these approaches quite appealing.
Attempts to correct for these contaminations can be done by along-track analysis (Maus et al. 2006a; Thébault et al. 2012) or statistically (Lesur et al. 2013), but the transient nature of these disturbances makes these approaches imperfect.
Consequently, making decisions on such evolving high rates of mutations in human solid tumors make these approaches fraudulent ('molecular false flags') and irresponsible as evident from the high failure rate outcomes of 'molecular target' therapies [18, 22, 36 38, 44, 65].
Hence, these issues make these approaches unsuitable for infrastructure-less environments, such as 802.11-based ad hoc networks, due to the resource constraint devices and distributed nature of the network [22, 25, 26].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com