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Presented By
Ajay Arun Raut
Class : TE-3
Roll No: 305C051
Under the Guidance of
Prof. S.S.Peerzade
Sinhgad Technical Education Society's
Department of Computer Engineering
Sinhgad College Of Engineering Vadgaon bk Pune-41
DATA STORAGE IN DNA
Contents
 Introduction
 What is DNA?
 What is digital Data Storage in DNA?
 History
 Why DNA as storage medium?
 How is data stored in DNA?
 Encoding and Decoding Techniques
 Advantage and Disadvantage
2 Data storage in DNA
Introduction
 The demand for data storage devices is increasing day by day as
more and more data is generated every day.
 Presently devices such as optical discs, portable hard drives, and
flash drives are used to store data.
 All these non-biodegradable materials used in data storage
pollute the environment.
 As the data increases, the current data storage technology would
not be enough to store data in future as data is growing every
day.
 To backup our data, we are using various hard drives and big
data centers to harvest the important data.
3
Data storage in DNA
Importance of DNA as storage medium
 High capacity
 High data storage density
 Withstand extreme environmental conditions
 High memory space
 Secure as invisible to human eye
 Effective power usage
 Can store data for long periods by protecting from
water and oxygen
4
Data storage in DNA
Identified failures of existing storage media
 Prone to damage from high temperature, moisture and
magnetic fields.
 Function only within limited temperature range.
 Subject to decay over long period.
 Non-bio degradable.
 Release high amounts of heat energy.
 Uses more energy for functioning.
Robotic Disaster Response 5
Data storage in DNA 6
What is DNA ?
7
• Deoxyribonucleic acid ( DNA) is a
molecule that carries the genetic
information that used in the growth,
development, of all living organisms.
• The two DNA strands are called
polynucleotides since they are
units called nucleotides. Each
nucleotide is composed of one of ‘ .
four nitrogen containing nucleobases –
cytosine(C),
guanine(G),
adenine(A) or thymine(T).
Data storage in DNA
What is digital data storage in DNA?
8
 DNA digital data storage refers to any process to store
digital data in the base sequence of DNA.
 This technology uses arti cial DNA made using
fi
commercially available oligonucleotide synthesis
machines for storage and DNA sequencing machines
for retrieval.
 This type of storage system is more compact than
current magnetic tape or hard drive storage systems
due to the data density of the DNA.
 Currently it was reported that in 1 gram of DNA 215
petabytes (215 million gigabytes) could be stored.
Data storage in DNA
9
Data storage in DNA
History
The idea and the general considerations about the possibility of
recording. storage and retrieval of information on DNA molecules were
originally made by Mikhail Neiman and published in 1964-65 in the
journal-USSR, and the technology may therefore be referred to as
MNeimONics, while the storage device may be known as MNeimON
(Mikhail Neiman OligoNucleotides).
In 2007 a device was created at the University of Arizona, using
addressing molecules to encode mismatch sites within a DNA strand.
On August 16, 2012, the journal Science published research by George
Church and colleagues at Harvard University, in which DNA was
encoded with digital information that included an HTML draft of a
53,400 word book written by the lead researcher, eleven JPG images
and one JavaScript program.
10
DNA Data Storage
11
 An improved system was reported in the journal Nature in
January 2013, in an article led by researchers from the
European Bioinformatics Institute (EBI) and submitted at
around the same time as the paper of Church and colleagues.
 The long-term stability of data encoded in DNA was
reported in February 2015, in an article by researches from
ETH Zurich.
 In March 2017, Dr. Yaniv Erlich and Dina Zielinski of
Columbia University and the New York Genome Center
published a method known as DNA Fountain which allows
perfect retrieval of information from a density of 215
petabytes per gram of DNA.
DNA Data Storage
Why DNA as storage medium?
 STRUCTURE OF DNA
 VERY HIGH DATA STORAGE CAPACITY
 LONG LIFE
 SMALL SIZE & HIGH DENSITY
 PORTABLE
 SECURE AS INVISIBLE TO HUMAN EYE
 EFFECTIVE POWER USAGE
12
DNA Data Storage
DNA v/s other storage devices
13
DNA Data Storage
How is data stored in DNA?
METHOD:
There are various techniques for storing the data in the DNA. In all
methods, firstly the inl"'om1ation is converted into digital form if not.
Then further processing is done. Various encoding techniques are also
used in data storing in DNA, like Huffman coding. The data is converted
into binary codes, this process is called as binarization and these binary
codes are further converted into A, T, G, C sequence with the help of a
device. and this process of conversion is called as DNA encoding. Then
further these ATGC sequences are synthesized into DNA molecules. And
to read this information back from DNA, sequencing of DNA fragments
is done by using various algorithms. And various decoding techniques are
used to decode the data from it. Now, question arises is the random access
of data possible? Yes in most of the techniques the random access of the
data is possible.
14
DNA Data Storage
15
DNA Data Storage
Encoding and Decoding Techniques:
ENCODING DATA ON DNA
Polymerase chain reaction based encoding scheme
Alignment based encoding model
Rewritable and RAM based DNA storage system
16
DNA Data Storage
Codes for Encrypting Data in DNA
 Huffman Coding(varying the length of symbols used
for representing a character)
 The Comma Code(Frames are separated with
comma’s)
 The Alternating Code
 Comma-Free Code(Frames are not separated with
commas)
 Improved Huffman Coding Scheme
 DNA secret writing algorithm
17
DNA Data Storage
ADVANTAGES
 Highly secure
 Compact
 Easy to carry
 Capable of storing very large amount of data.
 Long-lived, stable and easily synthesized.
 Needs no active maintenance.
 Stores digital files without electricity for thousands of
years.
 Last for tens of thousands of years.
 We can store 215 petabytes in one gram of DNA.
 Highly reliable.
18
DNA Data Storage
Challenges and Disadvantages
 The overall process of encoding, amplifying, sequencing,
restructuring and decoding takes significantly more time
than their conventional counterparts.
 The retrieval process is slower than that of a personal
computers.
 Many types of errors are associated with the current
machines dealing with DNA.
 Low speed.
 Very high cost of production.
 Mutations in DNA.
19
DNA Data Storage
Latest in This Field
20
DNA Data Storage
Microsoft recently decided to invest in the prospect of storing
information with a totally different sort of tech: biotech. lt might
seem off-brand for the software giant, but teaming up with
academics to take on molecular biology has produced stunning
results: The team was able to store and perfectly recall digital data
with incredible storage density. According to an accompanying blog
post, they managed to pack about zoo megabytes of data into just a
fraction of a drop of liquid, including a compressed music video
from the band OK Go. Even more impressive, that data was stored
in a quickly and easily accessible form, making it more akin to
computer RAM, than computer storage.
21
DNA Data Storage
Conclusion
 Thus, using DNA For data storage, it is possible to store huge amount
of data in very less size.
 As DNA can retain data for millions of years, it is possible to store data
for a long time.
 By using this technique, data is compressed and the security to the data
is provided.
 Parallel reading of les is also possible enabling users to read multiple
fi
files at the same time.
 By using DNA multiplication, we can create number of copies of
important data and can be distributed to servers.
 This technique can be used in future to store the whole data of the
various companies in very small space.
22
DNA Data Storage
References:
http://science.sciencemag.org
https://www.hindawi.com/journals - BioMed Research International
https://theconversation.com/
https://www.sciencealert.com/
https://www.extremetech.com/
A. Rosenblum, “Microsoft reports a big leap forward for
DNA data storage," 2016
https://en.wikipedia.org/wiki/DNA_digital_data_storage
https://www.researchgate.net
http://www.ijoee.org
23
DNA Data Storage
Thank You!
DNA Data Storage

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Seminar PPT on DNA Data Storage.ppt

  • 1. Presented By Ajay Arun Raut Class : TE-3 Roll No: 305C051 Under the Guidance of Prof. S.S.Peerzade Sinhgad Technical Education Society's Department of Computer Engineering Sinhgad College Of Engineering Vadgaon bk Pune-41 DATA STORAGE IN DNA
  • 2. Contents  Introduction  What is DNA?  What is digital Data Storage in DNA?  History  Why DNA as storage medium?  How is data stored in DNA?  Encoding and Decoding Techniques  Advantage and Disadvantage 2 Data storage in DNA
  • 3. Introduction  The demand for data storage devices is increasing day by day as more and more data is generated every day.  Presently devices such as optical discs, portable hard drives, and flash drives are used to store data.  All these non-biodegradable materials used in data storage pollute the environment.  As the data increases, the current data storage technology would not be enough to store data in future as data is growing every day.  To backup our data, we are using various hard drives and big data centers to harvest the important data. 3 Data storage in DNA
  • 4. Importance of DNA as storage medium  High capacity  High data storage density  Withstand extreme environmental conditions  High memory space  Secure as invisible to human eye  Effective power usage  Can store data for long periods by protecting from water and oxygen 4 Data storage in DNA
  • 5. Identified failures of existing storage media  Prone to damage from high temperature, moisture and magnetic fields.  Function only within limited temperature range.  Subject to decay over long period.  Non-bio degradable.  Release high amounts of heat energy.  Uses more energy for functioning. Robotic Disaster Response 5
  • 7. What is DNA ? 7 • Deoxyribonucleic acid ( DNA) is a molecule that carries the genetic information that used in the growth, development, of all living organisms. • The two DNA strands are called polynucleotides since they are units called nucleotides. Each nucleotide is composed of one of ‘ . four nitrogen containing nucleobases – cytosine(C), guanine(G), adenine(A) or thymine(T). Data storage in DNA
  • 8. What is digital data storage in DNA? 8  DNA digital data storage refers to any process to store digital data in the base sequence of DNA.  This technology uses arti cial DNA made using fi commercially available oligonucleotide synthesis machines for storage and DNA sequencing machines for retrieval.  This type of storage system is more compact than current magnetic tape or hard drive storage systems due to the data density of the DNA.  Currently it was reported that in 1 gram of DNA 215 petabytes (215 million gigabytes) could be stored. Data storage in DNA
  • 10. History The idea and the general considerations about the possibility of recording. storage and retrieval of information on DNA molecules were originally made by Mikhail Neiman and published in 1964-65 in the journal-USSR, and the technology may therefore be referred to as MNeimONics, while the storage device may be known as MNeimON (Mikhail Neiman OligoNucleotides). In 2007 a device was created at the University of Arizona, using addressing molecules to encode mismatch sites within a DNA strand. On August 16, 2012, the journal Science published research by George Church and colleagues at Harvard University, in which DNA was encoded with digital information that included an HTML draft of a 53,400 word book written by the lead researcher, eleven JPG images and one JavaScript program. 10 DNA Data Storage
  • 11. 11  An improved system was reported in the journal Nature in January 2013, in an article led by researchers from the European Bioinformatics Institute (EBI) and submitted at around the same time as the paper of Church and colleagues.  The long-term stability of data encoded in DNA was reported in February 2015, in an article by researches from ETH Zurich.  In March 2017, Dr. Yaniv Erlich and Dina Zielinski of Columbia University and the New York Genome Center published a method known as DNA Fountain which allows perfect retrieval of information from a density of 215 petabytes per gram of DNA. DNA Data Storage
  • 12. Why DNA as storage medium?  STRUCTURE OF DNA  VERY HIGH DATA STORAGE CAPACITY  LONG LIFE  SMALL SIZE & HIGH DENSITY  PORTABLE  SECURE AS INVISIBLE TO HUMAN EYE  EFFECTIVE POWER USAGE 12 DNA Data Storage
  • 13. DNA v/s other storage devices 13 DNA Data Storage
  • 14. How is data stored in DNA? METHOD: There are various techniques for storing the data in the DNA. In all methods, firstly the inl"'om1ation is converted into digital form if not. Then further processing is done. Various encoding techniques are also used in data storing in DNA, like Huffman coding. The data is converted into binary codes, this process is called as binarization and these binary codes are further converted into A, T, G, C sequence with the help of a device. and this process of conversion is called as DNA encoding. Then further these ATGC sequences are synthesized into DNA molecules. And to read this information back from DNA, sequencing of DNA fragments is done by using various algorithms. And various decoding techniques are used to decode the data from it. Now, question arises is the random access of data possible? Yes in most of the techniques the random access of the data is possible. 14 DNA Data Storage
  • 16. Encoding and Decoding Techniques: ENCODING DATA ON DNA Polymerase chain reaction based encoding scheme Alignment based encoding model Rewritable and RAM based DNA storage system 16 DNA Data Storage
  • 17. Codes for Encrypting Data in DNA  Huffman Coding(varying the length of symbols used for representing a character)  The Comma Code(Frames are separated with comma’s)  The Alternating Code  Comma-Free Code(Frames are not separated with commas)  Improved Huffman Coding Scheme  DNA secret writing algorithm 17 DNA Data Storage
  • 18. ADVANTAGES  Highly secure  Compact  Easy to carry  Capable of storing very large amount of data.  Long-lived, stable and easily synthesized.  Needs no active maintenance.  Stores digital files without electricity for thousands of years.  Last for tens of thousands of years.  We can store 215 petabytes in one gram of DNA.  Highly reliable. 18 DNA Data Storage
  • 19. Challenges and Disadvantages  The overall process of encoding, amplifying, sequencing, restructuring and decoding takes significantly more time than their conventional counterparts.  The retrieval process is slower than that of a personal computers.  Many types of errors are associated with the current machines dealing with DNA.  Low speed.  Very high cost of production.  Mutations in DNA. 19 DNA Data Storage
  • 20. Latest in This Field 20 DNA Data Storage
  • 21. Microsoft recently decided to invest in the prospect of storing information with a totally different sort of tech: biotech. lt might seem off-brand for the software giant, but teaming up with academics to take on molecular biology has produced stunning results: The team was able to store and perfectly recall digital data with incredible storage density. According to an accompanying blog post, they managed to pack about zoo megabytes of data into just a fraction of a drop of liquid, including a compressed music video from the band OK Go. Even more impressive, that data was stored in a quickly and easily accessible form, making it more akin to computer RAM, than computer storage. 21 DNA Data Storage
  • 22. Conclusion  Thus, using DNA For data storage, it is possible to store huge amount of data in very less size.  As DNA can retain data for millions of years, it is possible to store data for a long time.  By using this technique, data is compressed and the security to the data is provided.  Parallel reading of les is also possible enabling users to read multiple fi files at the same time.  By using DNA multiplication, we can create number of copies of important data and can be distributed to servers.  This technique can be used in future to store the whole data of the various companies in very small space. 22 DNA Data Storage
  • 23. References: http://science.sciencemag.org https://www.hindawi.com/journals - BioMed Research International https://theconversation.com/ https://www.sciencealert.com/ https://www.extremetech.com/ A. Rosenblum, “Microsoft reports a big leap forward for DNA data storage," 2016 https://en.wikipedia.org/wiki/DNA_digital_data_storage https://www.researchgate.net http://www.ijoee.org 23 DNA Data Storage