SlideShare a Scribd company logo
A brief Introduction to
                         Bioinformatics
                                                      Y. SINGH
                                  NELSON R. MANDELA SCHOOL OF MEDICINE
                                       DEPARTMENT OF TELEHEALTH
                                            SINGHY@UKZN.AC.ZA




Content licensed under Creative Commons Attribution-Share Alike 3.0
Unported
Learning Objectives

 What is Bioinformatics
 Why is it important
 Examples of Bioinformatics application
 What is Sequencing
 Uses of Sequencing
Building Blocks of DNA
 Bases are the building blocks of DNA
 DNA uses four different bases:
  Adenine, Guanine, Cytosine & Thymine
 Connected by 2’-deoxy-ribose-
  phosphate backbone
DNA

 Please watch Video One
Information in DNA is Transferred to
         RNA & into Proteins


 DNA (ACGT on deoxyribose backbone)
  




 RNA (ACGU on ribose backbone)
  




 Proteins (amino acids on peptide backbone)
Information in RNA Encodes
                Proteins

 Triplets of
  RNA
  nucleotides
  encode 20
  amino acids
 8 essential
  amino acids
DNA Mutates
Mutations in DNA (changes in bases) can 
changes in amino acids can  changes in
proteins
Mutations can be:
Inherited: sickle cell disease, cystic fibrosis,
susceptibility to some cancers (BRCA: breast
cancer)
Acquired: some birth defects, leukemia, HIV
resistance
Definition

 Bioinformatics :
   applied mathematics,
   informatics,
   statistics,
   computer science,
   artificial intelligence,
   chemistry, biochemistry etc

 to solve biological problems usually on the
 molecular level
What can Bioinformatics do

 sequence  alignment,
 gene finding,
 genome assembly,
 protein structure alignment,
 protein structure prediction,
 predict products of gene expression
 protein-protein interactions,
 the modeling of evolution.
What can Bioinformatics do

 sequence alignment,
 gene finding,
 genome assembly,
 protein structure alignment,
 protein structure prediction,
 predict products of gene expression
 protein-protein interactions,
 the modeling of evolution.
Sequence Alignment
 Compare genes
  within a species
 Search genes
 BLAST
Demonstration: Video Two
BIOAFICA:

http://www.bioafrica.net/rega-genotype/html/subtypinghiv.ht

STANFORD HIV-DB: http://hivdb.stanford.edu/
FINDING SIMILARITIES
HTTP://WWW.EBI.AC.UK/TOOLS/CLUSTALW2/INDEX.HT

HTTP://WWW.NCBI.NLM.NIH.GOV/SITES/EN
    TREZ?DB=PROTEIN&CMD=SEARCH
Implications for clinical
             informatics
 Sequence information in medical records
 New diagnostic and prognostic information
  sources
 Ethical considerations
Thank You



The work is provided under the terms of this Creative Commons Public
  License (“CCPL" or "license"). The work is protected by copyright
    and/or other applicable law. Any use of the work other than as
     authorized under this license or copyright law is prohibited.

More Related Content

What's hot

Protein structure
Protein structureProtein structure
Protein structure
Pooja Pawar
 

What's hot (20)

B.sc biochem i bobi u-1 introduction to bioinformatics
B.sc biochem i bobi u-1 introduction to bioinformaticsB.sc biochem i bobi u-1 introduction to bioinformatics
B.sc biochem i bobi u-1 introduction to bioinformatics
 
BIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And ChallengesBIOINFORMATICS Applications And Challenges
BIOINFORMATICS Applications And Challenges
 
Presentation on Biological database By Elufer Akram @ University Of Science ...
Presentation on Biological database  By Elufer Akram @ University Of Science ...Presentation on Biological database  By Elufer Akram @ University Of Science ...
Presentation on Biological database By Elufer Akram @ University Of Science ...
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Protein structure
Protein structureProtein structure
Protein structure
 
Primary and secondary database
Primary and secondary databasePrimary and secondary database
Primary and secondary database
 
Data retriveal ,srg and dbget
Data retriveal ,srg and dbgetData retriveal ,srg and dbget
Data retriveal ,srg and dbget
 
TOOLS AND DATA BASES OF NCBI
TOOLS AND DATA BASES OF NCBITOOLS AND DATA BASES OF NCBI
TOOLS AND DATA BASES OF NCBI
 
Kegg
KeggKegg
Kegg
 
Sequence Submission Tools
Sequence Submission ToolsSequence Submission Tools
Sequence Submission Tools
 
Introduction to pdb
Introduction to pdbIntroduction to pdb
Introduction to pdb
 
Genome annotation
Genome annotationGenome annotation
Genome annotation
 
Composite and Specialized databases
Composite and Specialized databasesComposite and Specialized databases
Composite and Specialized databases
 
Biological Database
Biological DatabaseBiological Database
Biological Database
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
BIO EDIT
BIO EDITBIO EDIT
BIO EDIT
 
Protein sequence databases
Protein sequence databasesProtein sequence databases
Protein sequence databases
 
Prosite
PrositeProsite
Prosite
 
Scop database
Scop databaseScop database
Scop database
 

Viewers also liked

Bioinformatics Final Presentation
Bioinformatics Final PresentationBioinformatics Final Presentation
Bioinformatics Final Presentation
Shruthi Choudary
 
Basics of bioinformatics
Basics of bioinformaticsBasics of bioinformatics
Basics of bioinformatics
Abhishek Vatsa
 
Dna fingerprinting and bioinformatics paragraphs
Dna fingerprinting and bioinformatics paragraphsDna fingerprinting and bioinformatics paragraphs
Dna fingerprinting and bioinformatics paragraphs
Omar00
 
A Comparative Structural Bioinformatics Analysis of the Insulin Receptor Fami...
A Comparative Structural Bioinformatics Analysis of the Insulin Receptor Fami...A Comparative Structural Bioinformatics Analysis of the Insulin Receptor Fami...
A Comparative Structural Bioinformatics Analysis of the Insulin Receptor Fami...
Miguel E. Rentería, PhD
 
databases in bioinformatics
databases in bioinformaticsdatabases in bioinformatics
databases in bioinformatics
nadeem akhter
 

Viewers also liked (20)

Introduction to bioinformatics
Introduction to bioinformaticsIntroduction to bioinformatics
Introduction to bioinformatics
 
Bioinformatics Final Presentation
Bioinformatics Final PresentationBioinformatics Final Presentation
Bioinformatics Final Presentation
 
Application of bioinformatics
Application of bioinformaticsApplication of bioinformatics
Application of bioinformatics
 
Basics of bioinformatics
Basics of bioinformaticsBasics of bioinformatics
Basics of bioinformatics
 
Application of Bioinformatics in different fields of sciences
Application of Bioinformatics in different fields of sciencesApplication of Bioinformatics in different fields of sciences
Application of Bioinformatics in different fields of sciences
 
Biyoinformatik Çalışmaları ve Araçları
Biyoinformatik Çalışmaları ve AraçlarıBiyoinformatik Çalışmaları ve Araçları
Biyoinformatik Çalışmaları ve Araçları
 
Dna fingerprinting and bioinformatics paragraphs
Dna fingerprinting and bioinformatics paragraphsDna fingerprinting and bioinformatics paragraphs
Dna fingerprinting and bioinformatics paragraphs
 
Msc presentation Bioinformatics
Msc presentation BioinformaticsMsc presentation Bioinformatics
Msc presentation Bioinformatics
 
A Comparative Structural Bioinformatics Analysis of the Insulin Receptor Fami...
A Comparative Structural Bioinformatics Analysis of the Insulin Receptor Fami...A Comparative Structural Bioinformatics Analysis of the Insulin Receptor Fami...
A Comparative Structural Bioinformatics Analysis of the Insulin Receptor Fami...
 
Structural bioinformatics and ELIXIR UK by Christine Orengo
Structural bioinformatics and ELIXIR UK by Christine OrengoStructural bioinformatics and ELIXIR UK by Christine Orengo
Structural bioinformatics and ELIXIR UK by Christine Orengo
 
Bioinformatics workshop presentation
Bioinformatics   workshop presentationBioinformatics   workshop presentation
Bioinformatics workshop presentation
 
Protein function and bioinformatics
Protein function and bioinformaticsProtein function and bioinformatics
Protein function and bioinformatics
 
Using bioinformatics for sequence analysis
Using bioinformatics for sequence analysisUsing bioinformatics for sequence analysis
Using bioinformatics for sequence analysis
 
Structural Bioinformatics - Homology modeling & its Scope
Structural Bioinformatics - Homology modeling & its ScopeStructural Bioinformatics - Homology modeling & its Scope
Structural Bioinformatics - Homology modeling & its Scope
 
sequence alignment
sequence alignmentsequence alignment
sequence alignment
 
Introduction to sequence alignment
Introduction to sequence alignmentIntroduction to sequence alignment
Introduction to sequence alignment
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Sequence Alignment In Bioinformatics
Sequence Alignment In BioinformaticsSequence Alignment In Bioinformatics
Sequence Alignment In Bioinformatics
 
databases in bioinformatics
databases in bioinformaticsdatabases in bioinformatics
databases in bioinformatics
 
Bioinformatics principles and applications
Bioinformatics principles and applicationsBioinformatics principles and applications
Bioinformatics principles and applications
 

Similar to Introduction to Bioinformatics Slides

Introducción a la bioinformatica
Introducción a la bioinformaticaIntroducción a la bioinformatica
Introducción a la bioinformatica
Martín Arrieta
 
Bioinformatics.pptx
Bioinformatics.pptxBioinformatics.pptx
Bioinformatics.pptx
PagudalaSangeetha
 
Bioinformatics Applications in Biotechnology
Bioinformatics Applications in BiotechnologyBioinformatics Applications in Biotechnology
Bioinformatics Applications in Biotechnology
Ushanandini Mohanraj
 
Human genome project(ibri)
Human genome project(ibri)Human genome project(ibri)
Human genome project(ibri)
ajay vishwakrma
 

Similar to Introduction to Bioinformatics Slides (20)

Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Bio Informatics
Bio InformaticsBio Informatics
Bio Informatics
 
Next Generation Sequencing
Next Generation SequencingNext Generation Sequencing
Next Generation Sequencing
 
Introducción a la bioinformatica
Introducción a la bioinformaticaIntroducción a la bioinformatica
Introducción a la bioinformatica
 
Bioinformatics
BioinformaticsBioinformatics
Bioinformatics
 
Bioinformatics relevance with biotechnology
Bioinformatics relevance with biotechnologyBioinformatics relevance with biotechnology
Bioinformatics relevance with biotechnology
 
Introduction to Bioinformatics.
 Introduction to Bioinformatics. Introduction to Bioinformatics.
Introduction to Bioinformatics.
 
Bioinformatics in present and its future
Bioinformatics in present and its futureBioinformatics in present and its future
Bioinformatics in present and its future
 
4.1 introduction to bioinformatics
4.1 introduction to bioinformatics4.1 introduction to bioinformatics
4.1 introduction to bioinformatics
 
MoM2010: Bioinformatics
MoM2010: BioinformaticsMoM2010: Bioinformatics
MoM2010: Bioinformatics
 
Biobanking a user’s perspective: Dr. Jonathan Pevsner
Biobanking a user’s perspective: Dr. Jonathan PevsnerBiobanking a user’s perspective: Dr. Jonathan Pevsner
Biobanking a user’s perspective: Dr. Jonathan Pevsner
 
NIH Data Science Special Interest Group
NIH Data Science Special Interest GroupNIH Data Science Special Interest Group
NIH Data Science Special Interest Group
 
Bioinformatics.pptx
Bioinformatics.pptxBioinformatics.pptx
Bioinformatics.pptx
 
Introduction to Bioinformatics
Introduction to BioinformaticsIntroduction to Bioinformatics
Introduction to Bioinformatics
 
Advanced biotechnological tools for human health care dr shiv om pratap
Advanced biotechnological tools for human health care dr shiv om pratapAdvanced biotechnological tools for human health care dr shiv om pratap
Advanced biotechnological tools for human health care dr shiv om pratap
 
PEGS the essential protein and antibody engineering summit
PEGS the essential protein and antibody engineering summit PEGS the essential protein and antibody engineering summit
PEGS the essential protein and antibody engineering summit
 
IBES Health and biomedical informatics
IBES  Health and biomedical informaticsIBES  Health and biomedical informatics
IBES Health and biomedical informatics
 
Bioinformatics Applications in Biotechnology
Bioinformatics Applications in BiotechnologyBioinformatics Applications in Biotechnology
Bioinformatics Applications in Biotechnology
 
Human genome project(ibri)
Human genome project(ibri)Human genome project(ibri)
Human genome project(ibri)
 
De novo antibody seuqencing
De novo antibody seuqencingDe novo antibody seuqencing
De novo antibody seuqencing
 

More from Saide OER Africa

More from Saide OER Africa (20)

Asp openly licensed stories for early reading in africa mar 2015 slideshare
Asp openly licensed stories for early reading in africa mar 2015 slideshareAsp openly licensed stories for early reading in africa mar 2015 slideshare
Asp openly licensed stories for early reading in africa mar 2015 slideshare
 
Quality Considerations in eLearning
Quality Considerations in eLearningQuality Considerations in eLearning
Quality Considerations in eLearning
 
African Storybook: The First 18 Months of the Project
African Storybook: The First 18 Months of the ProjectAfrican Storybook: The First 18 Months of the Project
African Storybook: The First 18 Months of the Project
 
Digital Storytelling for Multilingual Literacy Development: Implications for ...
Digital Storytelling for Multilingual Literacy Development: Implications for ...Digital Storytelling for Multilingual Literacy Development: Implications for ...
Digital Storytelling for Multilingual Literacy Development: Implications for ...
 
Integrating ICT in TVET for Effective Technology Enabled Learning
Integrating ICT in TVET for Effective Technology Enabled LearningIntegrating ICT in TVET for Effective Technology Enabled Learning
Integrating ICT in TVET for Effective Technology Enabled Learning
 
Higher Education Technology Outlook in Africa
Higher Education Technology Outlook in AfricaHigher Education Technology Outlook in Africa
Higher Education Technology Outlook in Africa
 
eLearning or eKnowledge - What are we offering students?
eLearning or eKnowledge - What are we offering students?eLearning or eKnowledge - What are we offering students?
eLearning or eKnowledge - What are we offering students?
 
The Rise of MOOCs
The Rise of MOOCsThe Rise of MOOCs
The Rise of MOOCs
 
Understand school leadership and governance in the South African context (PDF)
Understand school leadership and governance in the South African context (PDF)Understand school leadership and governance in the South African context (PDF)
Understand school leadership and governance in the South African context (PDF)
 
Toolkit: Unit 8 - Developing a school-based care and support plan.
Toolkit: Unit 8 - Developing a school-based care and support plan.Toolkit: Unit 8 - Developing a school-based care and support plan.
Toolkit: Unit 8 - Developing a school-based care and support plan.
 
Toolkit: Unit 7 - Counselling support for vulnerable learners.
Toolkit: Unit 7 - Counselling support for vulnerable learners.Toolkit: Unit 7 - Counselling support for vulnerable learners.
Toolkit: Unit 7 - Counselling support for vulnerable learners.
 
Toolkit: Unit 6 - School-based aftercare.
Toolkit: Unit 6 - School-based aftercare.Toolkit: Unit 6 - School-based aftercare.
Toolkit: Unit 6 - School-based aftercare.
 
Toolkit: Unit 5 - Good nutrition for learning.
Toolkit: Unit 5 - Good nutrition for learning.Toolkit: Unit 5 - Good nutrition for learning.
Toolkit: Unit 5 - Good nutrition for learning.
 
Toolkit: Unit 3 - Care for vulnerable learners
Toolkit: Unit 3 - Care for vulnerable learnersToolkit: Unit 3 - Care for vulnerable learners
Toolkit: Unit 3 - Care for vulnerable learners
 
Toolkit: Unit 2 - Schools as centres of care.
Toolkit: Unit 2 - Schools as centres of care.Toolkit: Unit 2 - Schools as centres of care.
Toolkit: Unit 2 - Schools as centres of care.
 
Toolkit: Unit 1 - How responsive are schools to the socio-economic challenges...
Toolkit: Unit 1 - How responsive are schools to the socio-economic challenges...Toolkit: Unit 1 - How responsive are schools to the socio-economic challenges...
Toolkit: Unit 1 - How responsive are schools to the socio-economic challenges...
 
Reading: Understanding Intrapersonal Characteristics (Word)
Reading: Understanding Intrapersonal Characteristics (Word)Reading: Understanding Intrapersonal Characteristics (Word)
Reading: Understanding Intrapersonal Characteristics (Word)
 
Reading: Understanding Intrapersonal Characteristics (pdf)
Reading: Understanding Intrapersonal Characteristics (pdf)Reading: Understanding Intrapersonal Characteristics (pdf)
Reading: Understanding Intrapersonal Characteristics (pdf)
 
Reading: Guidelines for Inclusive Learning Programmes (word)
Reading: Guidelines for Inclusive Learning Programmes (word)Reading: Guidelines for Inclusive Learning Programmes (word)
Reading: Guidelines for Inclusive Learning Programmes (word)
 
Reading: Guidelines for Inclusive Learning Programmes (pdf)
Reading: Guidelines for Inclusive Learning Programmes (pdf)Reading: Guidelines for Inclusive Learning Programmes (pdf)
Reading: Guidelines for Inclusive Learning Programmes (pdf)
 

Recently uploaded

Industrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training ReportIndustrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training Report
Avinash Rai
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Po-Chuan Chen
 

Recently uploaded (20)

[GDSC YCCE] Build with AI Online Presentation
[GDSC YCCE] Build with AI Online Presentation[GDSC YCCE] Build with AI Online Presentation
[GDSC YCCE] Build with AI Online Presentation
 
slides CapTechTalks Webinar May 2024 Alexander Perry.pptx
slides CapTechTalks Webinar May 2024 Alexander Perry.pptxslides CapTechTalks Webinar May 2024 Alexander Perry.pptx
slides CapTechTalks Webinar May 2024 Alexander Perry.pptx
 
NCERT Solutions Power Sharing Class 10 Notes pdf
NCERT Solutions Power Sharing Class 10 Notes pdfNCERT Solutions Power Sharing Class 10 Notes pdf
NCERT Solutions Power Sharing Class 10 Notes pdf
 
NLC-2024-Orientation-for-RO-SDO (1).pptx
NLC-2024-Orientation-for-RO-SDO (1).pptxNLC-2024-Orientation-for-RO-SDO (1).pptx
NLC-2024-Orientation-for-RO-SDO (1).pptx
 
Operations Management - Book1.p - Dr. Abdulfatah A. Salem
Operations Management - Book1.p  - Dr. Abdulfatah A. SalemOperations Management - Book1.p  - Dr. Abdulfatah A. Salem
Operations Management - Book1.p - Dr. Abdulfatah A. Salem
 
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXXPhrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
Phrasal Verbs.XXXXXXXXXXXXXXXXXXXXXXXXXX
 
The Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve ThomasonThe Art Pastor's Guide to Sabbath | Steve Thomason
The Art Pastor's Guide to Sabbath | Steve Thomason
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 
Fish and Chips - have they had their chips
Fish and Chips - have they had their chipsFish and Chips - have they had their chips
Fish and Chips - have they had their chips
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
50 ĐỀ LUYỆN THI IOE LỚP 9 - NĂM HỌC 2022-2023 (CÓ LINK HÌNH, FILE AUDIO VÀ ĐÁ...
 
Industrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training ReportIndustrial Training Report- AKTU Industrial Training Report
Industrial Training Report- AKTU Industrial Training Report
 
B.ed spl. HI pdusu exam paper-2023-24.pdf
B.ed spl. HI pdusu exam paper-2023-24.pdfB.ed spl. HI pdusu exam paper-2023-24.pdf
B.ed spl. HI pdusu exam paper-2023-24.pdf
 
Benefits and Challenges of Using Open Educational Resources
Benefits and Challenges of Using Open Educational ResourcesBenefits and Challenges of Using Open Educational Resources
Benefits and Challenges of Using Open Educational Resources
 
Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
 
UNIT – IV_PCI Complaints: Complaints and evaluation of complaints, Handling o...
UNIT – IV_PCI Complaints: Complaints and evaluation of complaints, Handling o...UNIT – IV_PCI Complaints: Complaints and evaluation of complaints, Handling o...
UNIT – IV_PCI Complaints: Complaints and evaluation of complaints, Handling o...
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
 
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdfAdversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
Adversarial Attention Modeling for Multi-dimensional Emotion Regression.pdf
 
Matatag-Curriculum and the 21st Century Skills Presentation.pptx
Matatag-Curriculum and the 21st Century Skills Presentation.pptxMatatag-Curriculum and the 21st Century Skills Presentation.pptx
Matatag-Curriculum and the 21st Century Skills Presentation.pptx
 

Introduction to Bioinformatics Slides

  • 1. A brief Introduction to Bioinformatics Y. SINGH NELSON R. MANDELA SCHOOL OF MEDICINE DEPARTMENT OF TELEHEALTH SINGHY@UKZN.AC.ZA Content licensed under Creative Commons Attribution-Share Alike 3.0 Unported
  • 2. Learning Objectives  What is Bioinformatics  Why is it important  Examples of Bioinformatics application  What is Sequencing  Uses of Sequencing
  • 3. Building Blocks of DNA  Bases are the building blocks of DNA  DNA uses four different bases: Adenine, Guanine, Cytosine & Thymine  Connected by 2’-deoxy-ribose- phosphate backbone
  • 5. Information in DNA is Transferred to RNA & into Proteins  DNA (ACGT on deoxyribose backbone)   RNA (ACGU on ribose backbone)   Proteins (amino acids on peptide backbone)
  • 6. Information in RNA Encodes Proteins  Triplets of RNA nucleotides encode 20 amino acids  8 essential amino acids
  • 7. DNA Mutates Mutations in DNA (changes in bases) can  changes in amino acids can  changes in proteins Mutations can be: Inherited: sickle cell disease, cystic fibrosis, susceptibility to some cancers (BRCA: breast cancer) Acquired: some birth defects, leukemia, HIV resistance
  • 8. Definition  Bioinformatics :  applied mathematics,  informatics,  statistics,  computer science,  artificial intelligence,  chemistry, biochemistry etc  to solve biological problems usually on the molecular level
  • 9. What can Bioinformatics do  sequence alignment,  gene finding,  genome assembly,  protein structure alignment,  protein structure prediction,  predict products of gene expression  protein-protein interactions,  the modeling of evolution.
  • 10. What can Bioinformatics do  sequence alignment,  gene finding,  genome assembly,  protein structure alignment,  protein structure prediction,  predict products of gene expression  protein-protein interactions,  the modeling of evolution.
  • 11. Sequence Alignment  Compare genes within a species  Search genes  BLAST
  • 14. Implications for clinical informatics  Sequence information in medical records  New diagnostic and prognostic information sources  Ethical considerations
  • 15. Thank You The work is provided under the terms of this Creative Commons Public License (“CCPL" or "license"). The work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license or copyright law is prohibited.