DNA - Evolution Vs. Polyfuctionality

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DNA - Poly-Functional Complexity equals Poly-Constrained Complexity http://docs.google.com/Doc?docid=0A...
DNA - Poly-Functional Complexity equals Poly-Constrained Complexity http://docs.google.com/Doc?docid=0AYmaSrBPNEmGZGM4ejY3d3pfMjdoZmd2emZncQ As former president of the French Academy of Sciences Pierre P. Grasse has stated: “What is the use of their unceasing mutations, if they do not change? In sum, the mutations of bacteria and viruses are merely hereditary fluctuations around a median position; a swing to the right, a swing to the left, but no final evolutionary effect.” Random Mutations Destroy Information - Perry Marshall - video http://www.metacafe.com/watch/4023143 Needless to say, this limit to the variability of "simple" single cell organism, bacteria, and viruses, is extremely bad news for the materialist. Materialists simply do not have the "beneficial" mutations they need to make evolution work. The following site has numerous quotes, studies and videos which reveal the overwhelmingly negative mutation rate which has been found in life: Mutation Studies, Videos, And Quotes http://docs.google.com/Doc?docid=0AYmaSrBPNEmGZGM4ejY3d3pfMjZjZnM5M21mZg Evolution vs. Genetic Entropy - video http://www.metacafe.com/watch/4028086 Assessing the NCSE’s Citation Bluffs on the Evolution of New Genetic Information - Feb. 2010 http://www.evolutionnews.org/2010/02/assessing_the_ncses_citation_b.html How to Play the Gene Evolution Game - Casey Luskin - Feb. 2010 http://www.evolutionnews.org/2010/02/how_to_play_the_gene_evolution.html The NCSE, Judge Jones, and Bluffs About the Origin of New Functional Genetic Information - Casey Luskin - March 2010 http://www.discovery.org/a/14251 It should be noted that evolutionists like to play head games with Claude Shannon's broad definition of information since "non-functional" information bits may be considered information in his broad definition, yet when looked at carefully, Shannon's work actually fully supports Intelligent Design as is illustrated in the following video and article: DNA and The Genetic Code Pt 3 - Perry Marshall - video http://www.youtube.com/watch?v=FtMQUFOwEFo Skeptic's Objection to Information Theory #1: "DNA is Not a Code" http://cosmicfingerprints.com/dnanotcode.htm DNA – The Genetic Code – Optimal Error Minimization & Parallel Codes – Dr. Fazale Rana – video http://www.metacafe.com/watch/4491422 Here, we show that the universal genetic code can efficiently carry arbitrary parallel codes much better than the vast majority of other possible genetic codes…. the present findings support the view that protein-coding regions can carry abundant parallel codes. http://genome.cshlp.org/content/17/4/405.full 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). http://www.ncbi.nlm.nih.gov/pubmed/2673451 Dr. Jerry Bergman, “Divine Engineering: Unraveling DNA’s Design”: The DNA packing process is both complex and elegant and is so efficient that it achieves a reduction in length of DNA by a factor of 1 million. DNA Wrapping (Histone Protein Wrapping to Cell Division)- video http://www.youtube.com/watch?v=gbSIBhFwQ4s 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 The Coding Found In DNA Surpasses Man’s Ability To Code – Stephen Meyer – video http://www.metacafe.com/watch/4050638 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. Human Genome “Infinitely More Complex” Than Expected – April 2010 Excerpt: Hayden acknowledged that the “junk DNA” paradigm has been blown to smithereens. “Just one decade of post-genome biology has exploded that view,” she said, speaking of the gene regulation was a straightforward, linear process of gene coding for regulator protein that controls transcription. “Biology’s new glimpse at a universe of non-coding DNA – what used to be called ‘junk’ DNA – has been fascinating and befuddling.” If it’s junk, why would the human body decode 74% to 93& of it? Inside the Human Genome: A Case for Non-Intelligent Design – Pg. 57 By John C. Avise Excerpt: “Another compilation of gene lesions responsible for inherited diseases is the web-based Human Gene Mutation Database (HGMD). Recent versions of HGMD describe more than 75,000 different disease causing mutations identified to date in Homo-sapiens.” HGMD®: Now celebrating our 100,000 mutation milestone! http://www.hgmd.cf.ac.uk/ac/index.php I really question their use of the word “celebrating”. The burning question is where in the world are all the hypothetical beneficial mutations??? The two most popular examples given Sickle cell and Lactase persistence, Sickle Cell is only beneficial in a limited sense and clearly detrimental in a molecular sense. Whereas Lactase persistence is the same in that it confers an advantage but it loses information in the genome for turning the lactase enzyme off. thus both of the most popular examples cited by evolutionists lose functional information. Intelligent Design - The Anthropic Hypothesis http://lettherebelight-77.blogspot.com/