Comparison of the DNA-Information with the codification of information in the actual IT and which conclusion can be drawn from it.

1. DNA from the point of
view of a computer
scientist
HansruediTremp
MA in eEducation, MAS in E-Didactics, Federal Diploma in Business Informatics
Lecturer for Business Informatics at the University of Applied Sciences in St. Gallen

2. Agenda
 Encoding in actual IT
 Encoding and usage of information in
DNA
 What is information
 Personal conclusion

3. Encoding in actual IT
(InformationTechnology)
A short insight in the

4. Storing of Information
 Hard disk as carrier of the information
◦ Hardware
 Information
(data, programs)
◦ Software
 Basic Encoding:
◦ 2 states: 0 or 1 (a binary digit)
◦ Binary system

5. Building Characters
 Code systems:
◦ example:ASCII
 8 bits = 1 character
 Common intellectual effort!
5

6. Syntax und Semantics
 Language (German, English, ...)
◦ Syntax, Grammar, ...
◦ Semantics, Style, ...
◦ “I love you!”
 In Computer Science
◦ Syntax: structure, rules, ...
◦ Semantics: meaning of commands, ...
◦ print “Total “ + SumOfInvoice

7. Pragmatics
 The goal is to realize an effect
 In Computer Science
◦ Write and send e-mails
◦ Surfing in the internet
◦ Write orders and invoices
◦ Make the accountability
◦ Control the construction of
cars and machines
◦ ...

8. Encoding and Usage of
Information in DNA
A fascinating Insight

9. DNA - Deoxyribonucleic Acid
 50-75 trillion of cells
 In the nucleus:
◦ Human genome
◦ 23 pairs of chromosomes
 DNA
◦ double stranded
◦ double helix
◦ millions of base pairs
◦ data carrier

10. Encoding
 Base carrier:
◦ Sugar phosphate backbone
 Different codes
nucleobases
◦ Adenine (A)
◦ Thymine (T)
Cytosine (C)
◦ Guanine (G)
 Base pairs

11. Human Genome Project
 1990 – 2003
 3 billions of base pairs
 Meaning?
 Overwhelming complexity!
 Gigantic program:
◦ growth,
◦ structure,
◦ operation of our body
http://www.genome.gov/

12. Syntax und Semantics
 3 base pairs triplet (codon)
 a codon  specific amino acid
◦ triplet GUG  valine
 series of triplets
 gene

13. Building of Proteins
about 50‘000 different proteins
Pragmatics

14. Quelle: www.genome.gov

15. What is information?

16. Information?
 No unified definition!
◦ Information Reality
◦ Need of encoding system
◦ Need of data carrier (data medium)
 Example Egyptian hieroglyphs:
◦ Data engraved on walls
 data medium ok
◦ The knowledge to read
it was lost
 no encoding system!

17. Information Matter
 Matter (robot)
◦ touchable
◦ has weight
◦ can rust
◦ material, physical
 Information (software)
◦ cannot be touched
◦ has no weight
◦ cannot rust
◦ immaterial

18. What is the source of information?
 Production of Software in IT
◦ no accidental product
◦ intellectual effort of human beings
 The source of information
◦ mental, spirit driven work

19. Personal Conclusion

20. Who is the author of DNA-
Information?
 Evidence and proof
of the DNA-information
 Giant software:
◦ build and maintain our body
 This author
◦ surpassing mind, intellectual being
◦ overwhelming intelligence
◦ transcending time and space
◦ extremely powerful

21. My personal conclusion
 Revelation of God: the Bible
 John 4:24: God is spirit
 Rom. 11.33: the depths of wisdom and
knowledge
 Psalm 147: abundant in power
 Rom. 16:26: the eternal God
 Psalm 139:13-14. wonderful works
 Rom. 1:20 his divine attributes

22. www.neuesleben.ch
Thank you for your attention
Any questions?