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Tags: Computer, Full, Seminar, Report, Download, DNA Computer, dna computer advantages, dna computer application, dna computer group, dna computer design, dna computer diagram, dna computer database, dna computer chips, dna computer concepts, dna computer calculations, dna computer case, dna computer code, dna computer consulting, dna computer company in hawaii, dna computer computing next generation, dna computer error, dna computer engineering, does a dna computer exist nowadays, dna computer game, dna computer graphic, dino dna computer game, dna computer games,
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12-07-2010, 06:17 PM
Post: #4
RE: DNA Computer Full Seminar Report Download
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08-10-2010, 10:39 AM
Post: #5
RE: DNA Computer Full Seminar Report Download

.pdf  DNA Computers_ppt.pdf (Size: 76.84 KB / Downloads: 321)


Introduction To DNA Computer

• Store Billions of time more information.
• High computing speed.
• Information is encoded within ‘Deoxiribo Nucleic Acid’.
• First Demonstrated By Ad leman in 1994.


Some information about DNA

• Definition of DNA
• About nucleic acid
• Genes and chromosomes

Structure of DNA

• Strands of DNA are long polymers of millions of linked nucliotides.
• Nitrogen bases .
• 5’ to 3’ direction.
• Double Helix form.
• Purin and pirimidin bases.

Operations on DNA

• Merge
• Annealing
• Melt
• Separation by length - Electophoresis.
• Separation by sequences
• Copying / Amplification
• Append
• Detect

Conclusion

• I would like to conclude by sharing a future vision in which a single drop of water holds a veritable army of live robots for protection against various
diseases may be even cancer.
• It is still science fiction but implanting computer programs in to living creatures may not be far away.
08-10-2010, 10:45 AM
Post: #6
RE: DNA Computer Full Seminar Report Download

.pdf  DNA Computers.pdf (Size: 398.53 KB / Downloads: 111)


Introduction

DNA Computer can store billions of times more information then your PC hard drive and solve complex problems in a less time.We know that computer chip manufacturers are racing to make the next microprocessor that will more faster. Microprocessors made of silicon will eventually reach their limits of speed and miniaturization. Chips makers need a new material to produce faster computing speeds.
To understand DNA computing lets first examine how the conventional computer process information. A conventional computer performs mathematical operations by using electrical impulses to manipulate zeroes and ones on silicon chips. A DNA computer is based on the fact the information is “encoded” within deoxyribonucleic acid (DNA) as as patterns of molecules known as nucleotides. By manipulating the how the nucleotides combine with each other the DNA computer can be made to process data. The branch of computers dealing with DNA computers is called

DNA Computing.

The concept of DNA computing was born in 1993, when Professor Leonard Adleman, a mathematician specializing in computer science and cryptography accidentally stumbled upon the similarities between conventional computers and DNA while reading a book by James Watson. A little more than a year after this, In 1994, Leonard M. Adleman, a professor at the University of Southern California, created a storm of excitement in the computing world when he announced that he had solved a famous computation problem. This computer solved the traveling salesman problem also known as the “Hamiltonian path" problem,which is explained later. DNA was shown to have massively parallel processing capabilities that might allow a DNA based computer to solve hard computational problems in a reasonable amount of time.
There was nothing remarkable about the problem itself, which dealt with finding the shortest route through a series of points. Nor was there anything special about how long it took Adleman to solve it — seven days — substantially greater than the few minutes it would take an average person to find a solution. What was exciting about Adleman’s achievement was that he had solved the problem using nothing but deoxyribonucleic acid (DNA) and molecular chemistry.
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