DNA computing is a branch of computing which uses DNA, biochemistry, and molecular biology hardware, instead of the traditional silicon-based computer technologies. Research and development in this area concerns theory, experiments, and applications of DNA computing. The term "molectronics" has sometimes been used, but this term had already been used for an earlier technology, a then-unsuccessful rival of the first integrated circuits, this term has also been used more generally, for molecular-scale electronic technology
2.
Introduction
History
Representation of DNA computing
Representation of DNA chip
DNA v/s Silicon computer
Benefits of DNA computing
Applications
Advantages
Disadvantages
Limitations
Future
Conclusion
Conents
3. DNA means “Deoxyribonucleic Acid”.
DNA computing is a branch of computing.
“Computation using DNA ”but not” computation on
DNA”.
A Nano computer that uses DNA to store information
and perform complex calculations.
INTRODUCTION
4.
In 1994 University of Southern California computer
scientist Leonard Adlemen suggested that DNA
could be used to solve complex mathematical
problems.
Adelman found away to harness the power of DNA
to solve the Hamilton path problem whose solution
required finding a path from start to ending
through all the points to visit only once(it is also
known as travelling salesman problem).
HISTORY
5.
In DNA computing information is represented using
four characters genetic alphabet .
( A [adenine], G [guanine], C [cytosine] and T
[thymine] ) rather than binary alphabet (1 or 0) used
by traditional computers.
Representation of DNA
computing
8.
Traditional silicon based computer have a limited
speed and beyond a point cannot be miniaturize.
Information storage capacity of DNA molecule is
much higher than silicon chips.
1gm of DNA can store huge amount of data such has
1*1014mb of data’, to listen to the same amount of
data stored in a cd will require 1,63,000 centuries.
It is cheaper than silicon.
DNA v/s Silicon computer
9.
To solve complex problems is that different
possible solutions are created all at once this is
known as parallel processing.
Here humans and most electronics computers
must attempt to solve problem one process at a
time(linear processing).
DNA molecular can fit into an area no large than
one cubic cm . with this DNA a computation
could hold 10TB of data and perform 10trillion
calculation at a time.
Benefits of DNA
11.
This are light weight computers.
Power or electricity required for DNA computation
are very less , power is needed only to present the
DNA from denaturation.
The main advantage of DNA computing is it can
solve the hardest problem very quickly were
compared to traditional silicon computer.
Advantages of DNA
computing
12.
It takes much time to solve a simple problem.
It takes longer time to sort out the answer to a
problem that it took’s to solve the same problem.
Disadvantages of DNA
computing
13.
It involves a relatively large amount of error.
Requires human assistance.
Time consuming laboratory procedures.
No universal method of data representation.
Limitations / current
problems
14.
Algorithm used by Adleman for the traveling
salesman problem was simple . As technology
becomes refined ,more efficient algorithms may be
discovered.
In future advances DNA computers are more
admission.
The future
15.
The field of DNA computation is truly exciting for
the revolution implies will occur with in next few
years.
Intel scientist say it happens about in year 2018.
It shows enormous potential, especially for medical
purpose as well as data processing applications.
Conclusion