linkedin post 2019-10-05 06:36:31

linkedin post 2019-10-05 06:36:31

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NO SIMPLE EXISTS. “Biological research is in a crisis: the advent of high-throughput data generation has resulted in a deluge of empirical information from biological systems at every level of organization. In addition, scientists are increasingly realizing that biological systems, even the simplest ones, are extraordinarily complex.” http://europepmc.org/articles/PMC3512409/ View in LinkedIn
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linkedin post 2019-10-05 06:31:38

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FRAGMENT FROM NATURE focuses on the idea of organisms as machines, a common idea. Günther Witzany is a well published independent author, and brings a fresh perspective on biology. The common language in biology today tends to be mechanistic, with cells as wired machines, replete with engineer-able parts that can be switched on an off. But slowly, we are realizing this is a false analogy. View in LinkedIn
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linkedin post 2019-10-06 02:57:59

linkedin post 2019-10-06 02:57:59

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DECODING. “Second, agency on its own behalf and interpretation of meaning—context-decoding—are obviously, and essentially, already present at the level of single proteins or RNA molecules. Living organisms competently use species-specific signals to transport meanings to coordinate common cellular behaviour.” http://europepmc.org/articles/PMC3512409/ View in LinkedIn
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linkedin post 2019-10-05 06:49:45

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IN SITU. “Natural language and communication are context dependent. This means that the same syntactic structure of content-loaded signs can transport different and even contradictory meanings for the language-using receiver, dependent on the context in which the language sequence is used.” http://europepmc.org/articles/PMC3512409/ View in LinkedIn
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linkedin post 2019-10-05 06:47:23

linkedin post 2019-10-05 06:47:23

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LANGUAGES. “The crucial difference between a Turing and von Neumann machine and biological cell-based organisms is that the formal language needed to operate machines is not compatible with the natural languages of genetic codes and signalling networks. Whereas the first depends on formalizable algorithms, the latter cannot be formalized.” http://europepmc.org/articles/PMC3512409/ View in LinkedIn
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