SlideShare a Scribd company logo
1 of 32
1
2
SANJNANA URMY
13CSE030
WHAT IS BIO COMPUTER?
Bio computers are not robots or any spiritual
beings but they work like a powerful computer.
It has the CPU as its brain and DNA are its
softwares.
3
WHATISTHEMEANING OFTHETERM
“BIO”
4
Biological Computing
5
WHAT IS BIOLOGICAL
COMPUTING?
 Biological Computing means such a computing
process which use synthesized biological
components to store and manipulate data
analogous to processes in the human body.
 The result is faster computing process that
operates with great accuracy.
 Main biological component used in
Biological Computing is : DNA
6
WHY BIO
COMPUTING ??
 Moore’s Law states that silicon
microprocessor complexity will double in
every 18 months.
 To overcome the limitations of current
Computing Technology BIO-Chips made up
of DNA is used as a substitute for silicon
chips.
7
TYPES OF BIO-COMPUTERS
8
WHAT IS DNA?
 DNA Stands for De-Oxy Ribo Nucleic Acid.
 A hereditary material found in almost all living
organisms.
 Located inside the nucleus of a cell.
 Helps in long term storage of information.
 DNA is stored as a
code made of four chemical bases(A,T,G,C).
-These bases are like 0’s and 1’s used in Silicon
Computers.
9
STRUCTURE OF DNA
 The two strands of DNA
molecule are anti parallel
where each strand runs in
opposite direction.
 Complementary base pairs 
Adenine(A) & Thymine(T)
Guanine(G) & Cytosine(C)
10
WHAT IS A DNA COMPUTER?
 DNA computer is a molecular computer that works
biochemically to solve complex problems and different
possible solutions are created all at once.
 It computes using enzymes that react with DNA strands
and cause chain reactions.
11
EVOLUTION OF THE DNA
COMPUTER
12
EVOLUTION OF THE DNA
COMPUTER(1)
 Began in 1994 when Dr.Leonard Aldemsn wrote
the paper “Molecular computation of solutions to
combinatorial problems”.
 He then carried out this experiment successfully-
although it took him days to do so!
13
INVENTOR
14
I believe things like DNA computing
will eventually lead the way to a
“molecular revolution,” which
ultimately will have a very dramatic
effect on the world.
L. Adleman
EVOLUTION OF THE DNA
COMPUTER(2)
 DNA computer moved from test tubes on to gold plates
15
EVOLUTION OF THE DNA
COMPUTER(3)
 First Practical DNA computer unveiled in 2002 , used
in gene analysis.
16
EVOLUTION OF THE DNA
COMPUTER(4)
 Self powered DNA computer unveiled in 2003.
o First programmable autonomous computing
machine in which the input,output,software and
hardware are all made of DNA molecules.
o Can perform a billion operations per second with
99.8% accuracy
17
EVOLUTION OF THE DNA
COMPUTER(5)
 Biological computer developed that could be
used to fight cancers.
 ‘Designer DNA’ identifies abnormal and is
attracted to it.
 The Designer molecule then releases
chemicals to inhibits its growth or even kill
the malignant cells.
 Successfully tested on animals.
18
HOW DNA WORKS AS A
COMPUTER
Electronic computers store data in binary
form then resemble and interpret the
information in meaningful way.
A DNA computer has the same basic abilities
to store information and compute solutions .But
its working method is different. It works off
molecular automations and preset reactions.
19
PROPERTIES OF A DNA
COMPUTER
 Dense data storage.
 Massively parallel computation.
 Extraordinary energy efficiency.
20
HOW DENSE IS THE DATA
STORAGE?
 1 gram of DNA =2.2 Petabytes
 1 PB = 1000000000000000B =
1015
bytes = 1000 terabytes.
Photo: European Molecular Biology
Laboratory
Nick Goldman
21
HOW DENSE IS THE DATA
STORAGE?(CONTINUOUS……….)
 The number of CDs required to hold this
amount of information, lined up edge to edge,
would circle the Earth 375 times, and would
take1630 centuries to listen to. 22
HOW ENORMOUS IS THE
PARALLELISM?
 A test tube of DNA can contain trillions of
strands. Each operation on a test tube of
DNA is carried out on all strands in the tube
in parallel !
23
HOW EXTRAORDINARY IS THE
ENERGY EFFICIENCY?
 Modern supercomputers = 109
operations/joule
 DNA computer = 2*10^19
operations/joule
24
CONVENTIONAL VS. BIOLOGICAL
COMPUTERS
Conventional Biological
Component
materials
Inorganic, e.g. silicon Biological,e.g.DNA
Processing scheme Sequential and limited
massively parallel
Massively parallel
Energy efficient ? No Yes
Quantum effects a
problem?
Yes No
Toxic components? Yes No 25
APPLICATIONS OF DNA
COMPUTING
 DNA chips
 Cryptography
 Genetic Programming
 Medical Application
 Cracking of coded messages
 DNA fingerprinting
26
ADVANTAGES OF DNA
COMPUTERS
 Cheap resource & plentiful supply.
 DNA biochips can be made cleanly so no toxic
materials are used.
 Many times smaller in size than current Computers.
 Parallel Computing
 Low power- The only power needed is to keep DNA
from denaturing.
27
FUTURE
 Taiwan introduces world's 1st DNA chip
 They are planning to use this Chip on ID
card to crack down frauds using fake ID
cards.
28
LIMITATIONS / CURRENT
PROBLEMS
 It involves a relatively large amount of error.
 Requires human assistance.
 Time consuming laboratory procedures.
 No universal method of data representation.
29
DISADVANTAG
ES
30
CONCLUSION
 DNA computers showing enormous potential,
especially for medical purposes as well as data
processing applications.
 Still a lot of work and resources required to
develop it into a fully fledged product.
31
QUESTIONS????
THANK YOU !!!!!
32

More Related Content

What's hot

What's hot (20)

Blue Brain
Blue Brain Blue Brain
Blue Brain
 
Blue brain
Blue brainBlue brain
Blue brain
 
Ppt of nanocomputing
Ppt of nanocomputingPpt of nanocomputing
Ppt of nanocomputing
 
Dna computing
Dna computingDna computing
Dna computing
 
Brain Computer Interfaces(BCI)
Brain Computer Interfaces(BCI)Brain Computer Interfaces(BCI)
Brain Computer Interfaces(BCI)
 
Brain chips seminar ppt
Brain chips seminar ppt Brain chips seminar ppt
Brain chips seminar ppt
 
Nano computing.
Nano computing.Nano computing.
Nano computing.
 
DNA computing seminar
DNA computing seminarDNA computing seminar
DNA computing seminar
 
Cognitive Computing
Cognitive ComputingCognitive Computing
Cognitive Computing
 
Smart note taker
Smart note takerSmart note taker
Smart note taker
 
Brain computer interface
Brain computer interfaceBrain computer interface
Brain computer interface
 
Blue Brain-Nidhi Bisht
Blue Brain-Nidhi BishtBlue Brain-Nidhi Bisht
Blue Brain-Nidhi Bisht
 
I.t in space
I.t in spaceI.t in space
I.t in space
 
Dna computing
Dna computingDna computing
Dna computing
 
brain computer-interfaces PPT
 brain computer-interfaces PPT brain computer-interfaces PPT
brain computer-interfaces PPT
 
Brain Gate Technology
Brain Gate TechnologyBrain Gate Technology
Brain Gate Technology
 
Brain computer Interface
Brain computer InterfaceBrain computer Interface
Brain computer Interface
 
AI in Healthcare 2017
AI in Healthcare 2017AI in Healthcare 2017
AI in Healthcare 2017
 
how brain computer interface works
how brain computer interface workshow brain computer interface works
how brain computer interface works
 
Blue Brain
Blue BrainBlue Brain
Blue Brain
 

Similar to DNA & Bio computer

Similar to DNA & Bio computer (20)

Dna computers
Dna computers Dna computers
Dna computers
 
Dna computing
Dna computingDna computing
Dna computing
 
biocomputing-140723074801-phpapp01.pdf
biocomputing-140723074801-phpapp01.pdfbiocomputing-140723074801-phpapp01.pdf
biocomputing-140723074801-phpapp01.pdf
 
biocomputing-190618135550.pdf
biocomputing-190618135550.pdfbiocomputing-190618135550.pdf
biocomputing-190618135550.pdf
 
Biocomputing- biological computing
Biocomputing- biological computingBiocomputing- biological computing
Biocomputing- biological computing
 
DNA computing
DNA computingDNA computing
DNA computing
 
Recent Advancements in DNA Computing
Recent Advancements in DNA ComputingRecent Advancements in DNA Computing
Recent Advancements in DNA Computing
 
Dna computing
Dna computing Dna computing
Dna computing
 
Dna storage
Dna storageDna storage
Dna storage
 
DNA based computer : present & future
DNA based computer : present & futureDNA based computer : present & future
DNA based computer : present & future
 
DNA Computing
DNA ComputingDNA Computing
DNA Computing
 
Dna computing
Dna computingDna computing
Dna computing
 
Nano technology
Nano technologyNano technology
Nano technology
 
Genetic data storage
Genetic data storageGenetic data storage
Genetic data storage
 
DNA computing.pptx
DNA computing.pptxDNA computing.pptx
DNA computing.pptx
 
Dna computing
Dna computingDna computing
Dna computing
 
Alternative Computing
Alternative ComputingAlternative Computing
Alternative Computing
 
Ag04602228232
Ag04602228232Ag04602228232
Ag04602228232
 
Data Storage in DNA
Data Storage in DNAData Storage in DNA
Data Storage in DNA
 
DNA & Molecular Computing
DNA & Molecular ComputingDNA & Molecular Computing
DNA & Molecular Computing
 

Recently uploaded

Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksSoftradix Technologies
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticscarlostorres15106
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetEnjoy Anytime
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 

Recently uploaded (20)

Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Benefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other FrameworksBenefits Of Flutter Compared To Other Frameworks
Benefits Of Flutter Compared To Other Frameworks
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptxVulnerability_Management_GRC_by Sohang Sengupta.pptx
Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmaticsKotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
Kotlin Multiplatform & Compose Multiplatform - Starter kit for pragmatics
 
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your BudgetHyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
Hyderabad Call Girls Khairatabad ✨ 7001305949 ✨ Cheap Price Your Budget
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 

DNA & Bio computer

  • 1. 1
  • 3. WHAT IS BIO COMPUTER? Bio computers are not robots or any spiritual beings but they work like a powerful computer. It has the CPU as its brain and DNA are its softwares. 3
  • 6. WHAT IS BIOLOGICAL COMPUTING?  Biological Computing means such a computing process which use synthesized biological components to store and manipulate data analogous to processes in the human body.  The result is faster computing process that operates with great accuracy.  Main biological component used in Biological Computing is : DNA 6
  • 7. WHY BIO COMPUTING ??  Moore’s Law states that silicon microprocessor complexity will double in every 18 months.  To overcome the limitations of current Computing Technology BIO-Chips made up of DNA is used as a substitute for silicon chips. 7
  • 9. WHAT IS DNA?  DNA Stands for De-Oxy Ribo Nucleic Acid.  A hereditary material found in almost all living organisms.  Located inside the nucleus of a cell.  Helps in long term storage of information.  DNA is stored as a code made of four chemical bases(A,T,G,C). -These bases are like 0’s and 1’s used in Silicon Computers. 9
  • 10. STRUCTURE OF DNA  The two strands of DNA molecule are anti parallel where each strand runs in opposite direction.  Complementary base pairs  Adenine(A) & Thymine(T) Guanine(G) & Cytosine(C) 10
  • 11. WHAT IS A DNA COMPUTER?  DNA computer is a molecular computer that works biochemically to solve complex problems and different possible solutions are created all at once.  It computes using enzymes that react with DNA strands and cause chain reactions. 11
  • 12. EVOLUTION OF THE DNA COMPUTER 12
  • 13. EVOLUTION OF THE DNA COMPUTER(1)  Began in 1994 when Dr.Leonard Aldemsn wrote the paper “Molecular computation of solutions to combinatorial problems”.  He then carried out this experiment successfully- although it took him days to do so! 13
  • 14. INVENTOR 14 I believe things like DNA computing will eventually lead the way to a “molecular revolution,” which ultimately will have a very dramatic effect on the world. L. Adleman
  • 15. EVOLUTION OF THE DNA COMPUTER(2)  DNA computer moved from test tubes on to gold plates 15
  • 16. EVOLUTION OF THE DNA COMPUTER(3)  First Practical DNA computer unveiled in 2002 , used in gene analysis. 16
  • 17. EVOLUTION OF THE DNA COMPUTER(4)  Self powered DNA computer unveiled in 2003. o First programmable autonomous computing machine in which the input,output,software and hardware are all made of DNA molecules. o Can perform a billion operations per second with 99.8% accuracy 17
  • 18. EVOLUTION OF THE DNA COMPUTER(5)  Biological computer developed that could be used to fight cancers.  ‘Designer DNA’ identifies abnormal and is attracted to it.  The Designer molecule then releases chemicals to inhibits its growth or even kill the malignant cells.  Successfully tested on animals. 18
  • 19. HOW DNA WORKS AS A COMPUTER Electronic computers store data in binary form then resemble and interpret the information in meaningful way. A DNA computer has the same basic abilities to store information and compute solutions .But its working method is different. It works off molecular automations and preset reactions. 19
  • 20. PROPERTIES OF A DNA COMPUTER  Dense data storage.  Massively parallel computation.  Extraordinary energy efficiency. 20
  • 21. HOW DENSE IS THE DATA STORAGE?  1 gram of DNA =2.2 Petabytes  1 PB = 1000000000000000B = 1015 bytes = 1000 terabytes. Photo: European Molecular Biology Laboratory Nick Goldman 21
  • 22. HOW DENSE IS THE DATA STORAGE?(CONTINUOUS……….)  The number of CDs required to hold this amount of information, lined up edge to edge, would circle the Earth 375 times, and would take1630 centuries to listen to. 22
  • 23. HOW ENORMOUS IS THE PARALLELISM?  A test tube of DNA can contain trillions of strands. Each operation on a test tube of DNA is carried out on all strands in the tube in parallel ! 23
  • 24. HOW EXTRAORDINARY IS THE ENERGY EFFICIENCY?  Modern supercomputers = 109 operations/joule  DNA computer = 2*10^19 operations/joule 24
  • 25. CONVENTIONAL VS. BIOLOGICAL COMPUTERS Conventional Biological Component materials Inorganic, e.g. silicon Biological,e.g.DNA Processing scheme Sequential and limited massively parallel Massively parallel Energy efficient ? No Yes Quantum effects a problem? Yes No Toxic components? Yes No 25
  • 26. APPLICATIONS OF DNA COMPUTING  DNA chips  Cryptography  Genetic Programming  Medical Application  Cracking of coded messages  DNA fingerprinting 26
  • 27. ADVANTAGES OF DNA COMPUTERS  Cheap resource & plentiful supply.  DNA biochips can be made cleanly so no toxic materials are used.  Many times smaller in size than current Computers.  Parallel Computing  Low power- The only power needed is to keep DNA from denaturing. 27
  • 28. FUTURE  Taiwan introduces world's 1st DNA chip  They are planning to use this Chip on ID card to crack down frauds using fake ID cards. 28
  • 29. LIMITATIONS / CURRENT PROBLEMS  It involves a relatively large amount of error.  Requires human assistance.  Time consuming laboratory procedures.  No universal method of data representation. 29
  • 31. CONCLUSION  DNA computers showing enormous potential, especially for medical purposes as well as data processing applications.  Still a lot of work and resources required to develop it into a fully fledged product. 31