H'mm: Not source code, but machine code, including OS overheads, component assembly instructions and much more we have not yet begun to figure out. What I would love to see is a source language to DNA compiler and a DNA decompiler. But, hey, there are people who read machine code neat. KFkairosfocus
December 4, 2015
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2015
09:12 AM
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Mathematicians call it math ("Everything is math").
Linguists call it complex grammar.
Artists call it masterpiece.
Good! so many perspectives.bonebone
December 4, 2015
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2015
09:08 AM
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I really don't like it when people call DNA code.Mung
November 20, 2015
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2015
03:58 PM
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OT: Mystery Behind Quantum Theory & Albert Einstein, Science Documentary, - video (photoelectric effect - ultraviolet catastrophe)
https://www.youtube.com/watch?v=PwBADFyjpzEbornagain
November 19, 2015
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2015
07:35 PM
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OT:
Breakthrough Junior Challenge: Some Cool Ways of Looking at the Special Theory of Relativity
(Latter half of video, why a material body will age more slowly close to the speed of light)
https://www.youtube.com/watch?v=CYv5GsXEf1obornagain
November 19, 2015
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06:45 PM
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notes:
regulatory network of a well-studied bacterium (Escherichia coli) and the call graph of a canonical OS (Linux) - Picture of comparison
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2889091/figure/F1/
Comparing genomes to computer operating systems - Van - May 2010
Excerpt: we present a comparison between the transcriptional regulatory network of a well-studied bacterium (Escherichia coli) and the call graph of a canonical OS (Linux) in terms of topology,,,
http://www.ncbi.nlm.nih.gov/pubmed/20439753
What Is The Genome? It's Not Junk! - Dr. Robert Carter - video
(Discussion Comparing Computer Operating System of Linux to Regulatory Networks in e-coli)
http://www.metacafe.com/watch/8905583/
Three Subsets of Sequence Complexity and Their Relevance to Biopolymeric Information - David L. Abel and Jack T. Trevors - Theoretical Biology & Medical Modelling, Vol. 2, 11 August 2005, page 8
"No man-made program comes close to the technical brilliance of even Mycoplasmal genetic algorithms. Mycoplasmas are the simplest known organism with the smallest known genome, to date. How was its genome and other living organisms' genomes programmed?"
http://www.biomedcentral.com/content/pdf/1742-4682-2-29.pdf
First-Ever Blueprint of 'Minimal Cell' Is More Complex Than Expected - Nov. 2009
Excerpt: A network of research groups,, approached the bacterium at three different levels. One team of scientists described M. pneumoniae's transcriptome, identifying all the RNA molecules, or transcripts, produced from its DNA, under various environmental conditions. Another defined all the metabolic reactions that occurred in it, collectively known as its metabolome, under the same conditions. A third team identified every multi-protein complex the bacterium produced, thus characterising its proteome organisation.
"At all three levels, we found M. pneumoniae was more complex than we expected,"
http://www.sciencedaily.com/releases/2009/11/091126173027.htm
Simplest Microbes More Complex than Thought - Dec. 2009
Excerpt: PhysOrg reported that a species of Mycoplasma,, “The bacteria appeared to be assembled in a far more complex way than had been thought.” Many molecules were found to have multiple functions: for instance, some enzymes could catalyze unrelated reactions, and some proteins were involved in multiple protein complexes."
http://www.creationsafaris.com/crev200912.htm#20091229a
To Model the Simplest Microbe in the World, You Need 128 Computers - July 2012
Excerpt: Mycoplasma genitalium has one of the smallest genomes of any free-living organism in the world, clocking in at a mere 525 genes. That's a fraction of the size of even another bacterium like E. coli, which has 4,288 genes.,,,
The bioengineers, led by Stanford's Markus Covert, succeeded in modeling the bacterium, and published their work last week in the journal Cell. What's fascinating is how much horsepower they needed to partially simulate this simple organism. It took a cluster of 128 computers running for 9 to 10 hours to actually generate the data on the 25 categories of molecules that are involved in the cell's lifecycle processes.,,,
,,the depth and breadth of cellular complexity has turned out to be nearly unbelievable, and difficult to manage, even given Moore's Law. The M. genitalium model required 28 subsystems to be individually modeled and integrated, and many critics of the work have been complaining on Twitter that's only a fraction of what will eventually be required to consider the simulation realistic.,,,
http://www.theatlantic.com/technology/archive/2012/07/to-model-the-simplest-microbe-in-the-world-you-need-128-computers/260198/
