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The Cell - A World Of Complexity Darwin Never Dreamed Of - Donald E. Johnson - video
Bioinformatics: The Information in Life - Donald Johnson - video
On a slide in the preceding video, entitled 'Information Systems In Life', Dr. Johnson points out that:
* the genetic system is a pre-existing operating system;
* the specific genetic program (genome) is an application;
* the native language has codon-based encryption system;
* the codes are read by enzyme computers with their own operating system;
* each enzyme’s output is to another operating system in a ribosome;
* codes are decrypted and output to tRNA computers;
* each codon-specified amino acid is transported to a protein construction site; and
* in each cell, there are multiple operating systems, multiple programming languages, encoding/decoding hardware and software, specialized communications systems, error detection/correction systems, specialized input/output for organelle control and feedback, and a variety of specialized “devices” to accomplish the tasks of life.
Programming of Life - book - Don Johnson PhD.
The data compression of some stretches of human DNA is estimated to be up to 12 codes thick (12 different ways of DNA transcription) (Trifonov, 1989). (This is well beyond the complexity of any computer code ever written by man). John Sanford - Genetic Entropy
The multiple codes of nucleotide sequences. Trifonov EN. - 1989
Excerpt: Nucleotide sequences carry genetic information of many different kinds, not just instructions for protein synthesis (triplet code).
"In the last ten years, at least 20 different natural information codes were discovered in life, each operating to arbitrary conventions (not determined by law or physicality). Examples include protein address codes [Ber08B], acetylation codes [Kni06], RNA codes [Fai07], metabolic codes [Bru07], cytoskeleton codes [Gim08], histone codes [Jen01], and alternative splicing codes [Bar10].
Donald E. Johnson – Programming of Life – pg.51 - 2010
Human DNA is like a computer program but far, far more advanced than any software we've ever created.
Bill Gates, The Road Ahead, 1996, p. 188
Bill Gates, in recognizing the superiority found in Genetic Coding, compared to the best computer coding we now have, has now funded research into this area:
Welcome to CoSBi - (Computational and Systems Biology)
Excerpt: Biological systems are the most parallel systems ever studied and we hope to use our better understanding of how living systems handle information to design new computational paradigms, programming languages and software development environments. The net result would be the design and implementation of better applications firmly grounded on new computational, massively parallel paradigms in many different areas.
Stephen C. Meyer - Signature In The Cell:
"DNA functions like a software program," "We know from experience that software comes from programmers. Information--whether inscribed in hieroglyphics, written in a book or encoded in a radio signal--always arises from an intelligent source. So the discovery of digital code in DNA provides evidence that the information in DNA also had an intelligent source."
Cells Are Like Robust Computational Systems, - June 2009
Excerpt: Gene regulatory networks in cell nuclei are similar to cloud computing networks, such as Google or Yahoo!, researchers report today in the online journal Molecular Systems Biology. The similarity is that each system keeps working despite the failure of individual components, whether they are master genes or computer processors. ,,,,"We now have reason to think of cells as robust computational devices, employing redundancy in the same way that enables large computing systems, such as Amazon, to keep operating despite the fact that servers routinely fail."
Systems biology: Untangling the protein web - July 2009
Excerpt: Vidal thinks that technological improvements — especially in nanotechnology, to generate more data, and microscopy, to explore interaction inside cells, along with increased computer power — are required to push systems biology forward. "Combine all this and you can start to think that maybe some of the information flow can be captured," he says. But when it comes to figuring out the best way to explore information flow in cells, Tyers jokes that it is like comparing different degrees of infinity. "The interesting point coming out of all these studies is how complex these systems are — the different feedback loops and how they cross-regulate each other and adapt to perturbations are only just becoming apparent," he says. "The simple pathway models are a gross oversimplification of what is actually happening."
Ben Stein - EXPELLED - The Staggering Complexity Of The Cell - video
3-D Structure Of Human Genome: Fractal Globule Architecture Packs Two Meters Of DNA Into Each Cell - Oct. 2009
Excerpt: the information density in the nucleus is trillions of times higher than on a computer chip -- while avoiding the knots and tangles that might interfere with the cell's ability to read its own genome. Moreover, the DNA can easily unfold and refold during gene activation, gene repression, and cell replication.
Carl Sagan wrote: "The information content of a simple cell has been established as around
10^12 [a trillion] bits, comparable to about a hundred million pages of the Encyclopaedia Britannica."
("Life," Encyclopaedia Britannica: 22, 1997, p964-981)
"There are no detailed Darwinian accounts for the evolution of any fundamental biochemical or cellular system only a variety of wishful speculations. It is remarkable that Darwinism is accepted as a satisfactory explanation of such a vast subject."
James Shapiro - Molecular Biologist
Believing Life's 'Signature in the Cell' an Interview with Stephen Meyer - CBN video
Let There Be Light