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We can think of the generation of good models from noisy observations as what John von Neumann called a "synthesis of reliable organisms from unreliable components" [1].
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To access and exploit the full chemical capacity of these cosmopolitan Gram- bacteria, we sought to apply universal synthetic biology tools to capture, refactor, and express biosynthetic gene clusters for the production of complex organic compounds in reliable host organisms.
The elucidation of cancer pathogenesis has been hindered by limited access to patient samples, tumor heterogeneity, and the lack of reliable model organisms.
These results can be of interest in regions such as those with tropical climates, where E. coli and enterococci may be less reliable as indicator organisms, because there is some indication that these organisms might multiply in such environments (Fujioka and Byappanahalli 2003).
The results can be more reliable, when native organisms are used in experiments.
Reliable identification of organisms by this technique is possible only if the spectral database contains data from strains that have been carefully characterised by sequencing specific and informative gene regions (e.g. 16S RNA, gyrB, rpoB, or hsp60 genes for bacteria and ITS regions for fungi).
Such types of networks might provide new reliable characteristics of organism complexity and a better understanding of the evolutionary integration and plasticity of interconnection of genome-transcriptome-proteome functions.
Ecological research has disproved once widely accepted ideas, such as the assumption that homeostatic mechanisms in natural ecosystems are as reliable as those in organisms.
Over evolutionary time, light from the sun, moon, and stars has provided organisms with reliable information about the passage of time; but modern artificial lighting has drastically altered these cues.
The goals are to (a) develop reliable assays using alternative organisms or cell-based assays, (b) collect high-quality data using those assays, and then (c) assess whether those data can predict human toxicity.
Bone biopsy is particularly valuable in providing reliable data on infecting organisms and their antimicrobial susceptibility [ 6].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com