JYC: CSM17 BioinformaticsCSM17 Week1:What is Bioinformatics? A Multidisciplinary Subject incorporating: Biology –the study of living systems Informatics.

Slides:



Advertisements
Similar presentations
BIOINFORMATICS Ency Lee.
Advertisements

JYC: CSM17 BioinformaticsCSM17 Week 10: Summary, Conclusions, The Future.....? Bioinformatics is –the study of living systems –with respect to representation,
Bioinformatics What is bioinformatics? Why bioinformatics? The major molecular biology facts Brief history of bioinformatics Typical problems of bioinformatics:
What is second law of thermodynamics? (you know the answer, whether you know it or not) “All matter tends toward lowest energy and highest disorder”
Archives and Information Retrieval
The Golden Age of Biology DNA -> RNA -> Proteins -> Metabolites Genomics Technologies MECHANISMS OF LIFE Health Care Diagnostics Medicines Animal Products.
JYC: CSM17 BioinformaticsCSM17 Week 10: Summary, Conclusions, The Future.....? Bioinformatics is –the study of living systems –with respect to representation,
JYC: CSM17 BioinformaticsCSM17 Week 6: DNA, RNA and Proteins Transcription (reading the DNA template) Translation (RNA -> protein) Protein Structure.
JYC: CSM17 BioinformaticsCSM17 Week 7: Molecular Analysis Sequence comparison Molecular characters Homoplasy and convergence Multiple Sequence Alignment.
Introduction to Genomics, Bioinformatics & Proteomics Brian Rybarczyk, PhD PMABS Department of Biology University of North Carolina Chapel Hill.
The Cell, Central Dogma and Human Genome Project.
Biological Databases Chi-Cheng Lin, Ph.D. Associate Professor Department of Computer Science Winona State University – Rochester Center
CHAPTER 31 Genetic Engineering and Biotechnology.
Prepared with lots of help from friends... Metsada Pasmanik-Chor, Zohar Yakhini and NUMEROUS WEB RESOURCES. BioInformatics / Computational Biology Introduction.
Luxembourg, Sep 2001 Pedro Fernandes Inst. Gulbenkian de Ciência, Oeiras, Portugal EMBER A European Multimedia Bioinformatics Educational Resource.
Signaling Pathways and Summary June 30, 2005 Signaling lecture Course summary Tomorrow Next Week Friday, 7/8/05 Morning presentation of writing assignments.
Bioinformatics Original definition (1979 by Paulien Hogeweg): “application of information technology and computer science to the field of molecular biology”
JYC: CSM17 BioinformaticsCSM17 Week 6: DNA, RNA and Proteins Transcription (reading the DNA template) Translation (RNA -> protein) Protein Structure.
ExPASy - Expert Protein Analysis System The bioinformatics resource portal and other resources An Overview.
From T. MADHAVAN, & K.Chandrasekaran Lecturers in Zoology.. EXIT.
 Scientific study of life.  Present era is most exciting in biology  Scientists are trying to solve biological puzzles like:  How a single microscopic.
Bioinformatics Jan Taylor. A bit about me Biochemistry and Molecular Biology Computer Science, Computational Biology Multivariate statistics Machine learning.
Overview of Bioinformatics A/P Shoba Ranganathan Justin Choo National University of Singapore A Tutorial on Bioinformatics.
Biotechnology and Genomics Chapter 16. Biotechnology and Genomics 2Outline DNA Cloning  Recombinant DNA Technology ­Restriction Enzyme ­DNA Ligase 
Bioinformatics.
Development of Bioinformatics and its application on Biotechnology
1 Bio + Informatics AAACTGCTGACCGGTAACTGAGGCCTGCCTGCAATTGCTTAACTTGGC An Overview پرتال پرتال بيوانفورماتيك ايرانيان.
What Is Biotechnology? An Introduction BioScience Survey An Introduction BioScience Survey.
What is Biotechnology?.
Introduction to Bioinformatics CPSC 265. Interface of biology and computer science Analysis of proteins, genes and genomes using computer algorithms and.
Doug Raiford Lesson 3.  More and more sequence data is being generated every day  Useless if not made available to other researchers.
Biological Dictionaries In Chinese Juncai MA Institute of Microbiology, Chinese Academy of Sciences
Introduction to Biotechnology ~manipulating and analyzing DNA.
Overview of Bioinformatics 1 Module Denis Manley..
Introduction to Bioinformatics Dr. Rybarczyk, PhD University of North Carolina-Chapel Hill
AdvancedBioinformatics Biostatistics & Medical Informatics 776 Computer Sciences 776 Spring 2002 Mark Craven Dept. of Biostatistics & Medical Informatics.
EB3233 Bioinformatics Introduction to Bioinformatics.
KEY CONCEPT Biotechnology relies on cutting DNA at specific places.
Biotechnology and Genomics Chapter 16. Biotechnology and Genomics 2Outline DNA Cloning  Recombinant DNA Technology ­Restriction Enzyme ­DNA Ligase 
CHAPTER 1 INTRODUCTION: THEMES IN THE STUDY OF LIFE.
Overview of Bioinformatics Module Denis Manley.. Contact Details Lecturer Name: Denis Manley Room number: KE-1-013a
Bioinformatics Project BB201 Metabolism A.Nasser
An Introduction to NCBI & BLAST National Center for Biotechnology Information Richard Johnston Pasadena City College.
Chapter 13-2 & 13-3: Manipulating DNA & Cell Transformation
Information retrieval and sliding window programs April 5, 2011 Hand in Homework #1. Homework #2 due Tuesday, April 12. Learning objectives- Understand.
Chapter 9 : Application Areas. 2 Some Advance Application Areas of Computers  Software Development  Artificial Intelligence  Robotics  Industrial.
Introduction of Genomic Nada Al-Juaid. Out line  Cell  DNA the molecule of life  Centra dogma  Gene  Genetics  Genome  Genomic  Epigenomic  Human.
KEY CONCEPT DNA sequences of organisms can be changed.
Biotechnology. Biotechnology The manipulation of biological processes or organisms to achieve a goal.
Bioinformatics Professor: Monica Bianchini Department of Information Engineering and Mathematics E–mail: Phone: 1012.
Biotechnology.
Introduction to Bioinformatics and Functional Genomics
Biological Databases By: Komal Arora.
Introduction to Biotechnology
The Function of DNA.
Bioinformatics Madina Bazarova. What is Bioinformatics? Bioinformatics is marriage between biology and computer. It is the use of computers for the acquisition,
생물정보학 Bioinformatics.
Transcription 8.4.
Genomes and Their Evolution
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Bioinformatics Vicki & Joe.
LESSON 1 INTNRODUCTION HYE-JOO KWON, Ph.D /
Introduction to Bioinformatic
Biology, 9th ed,Sylvia Mader
Evolution of Genomes Chapter 21.
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Part I. Introduction and Genetic Engineering
KEY CONCEPT Entire genomes are sequenced, studied, and compared.
Presentation transcript:

JYC: CSM17 BioinformaticsCSM17 Week1:What is Bioinformatics? A Multidisciplinary Subject incorporating: Biology –the study of living systems Informatics –the representation, organisation, manipulation, distribution, maintenance and use of information

JYC: CSM17 Bioinformatics includes... Computer applications in biology IT and IS for management & analysis of biological data –e.g. classification/identification systems, databases, development of analysis tools Molecular analysis (e.g. DNA sequences) Artificial intelligence Simulations of biological systems

JYC: CSM17 Why is it Important to Mankind? Analysis of our ‘own’ data (human genome project –1990s) biotechnology / genetic engineering gene therapy resulting in... –cures for diseases –prevention of infection –increase in food production

JYC: CSM17 Why is it Important to Us? Storage, access and presentation of large amounts of data (databases, HCI) Design of data analysis tools (software eng.) Pattern recognition (neural networks/expert systems) –e.g. identification of unknown specimens or gene sequences Prediction (neural networks)

JYC: CSM17 Biological Data Often extremely variable Can be difficult to acquire Definitions often fuzzy or difficult to define Often dynamic - can change over time

JYC: CSM17 Kinds of Biological Data Phenotype (the ‘hardware’) –the actual organism as seen (WYS) Genotype (the ‘software’, or ‘firmware’) –the actual genetic code (‘design’, WYG)

JYC: CSM17 Kinds of Biological Data Phenetic (the ‘hardware’) –analogue –e.g. length of leaves, number of legs Genotypic (the ‘software’, or ‘firmware’) –digital –e.g. DNA, RNA, gene sequences Protein structures (the ‘components’)

JYC: CSM17 Phenetic (Phenotypic) Data Stored as...living specimens In... –a botanic garden (plants & sometimes fungi) –a zoo (animals) –amateur collections –culture collections (bacteria, viruses, etc.) And... –(usually) local databases

JYC: CSM17 Phenetic (Phenotypic) Data Stored as... preserved specimens –as actual dried or ‘pickled’ plants & animals In... –a herbarium (plants & fungi) –a museum (animals) And... –books, published papers, illustrations, sounds...essentially multimedia in nature

JYC: CSM17 Databases for Phenetic Data Living Collection Accession Databases –e.g. at Royal Botanic Gardens, Kew (UK) Online Floras –e.g. Flora of North America

JYC: CSM17 Genotypic (Genomic) Data Molecular sequence data –stored as sequences In.... Large Databases Nucleic Acids –DNA (Deoxyribonucleic Acid) –RNA (Ribonucleic Acid)

JYC: CSM17 Databases for Genomic Data GenBank –NCBI National Center for Biotechnology Information. – /GenbankOver/ EMBL –European Bioinformatics Institute –

JYC: CSM17 Databases for Protein Data PDB –Protein Data Bank –

JYC: CSM17 A Note on Biological Names Latin name (binomial) is the primary key names do change (although they try not to) there is only one specimen (+ a few copies) that ‘definitely’ has that name (the type)

JYC: CSM17 Summary Bioinformatics –is a new multidisciplinary subject involving IT and IS applied to the management and analysis of biological data –it requires the design & use of databases, software engineering, pattern recognition, expert systems & artificial neural networks (i.e. computing expertise) –has the potential for resulting in... cures for, and prevention of diseases an increase in food production

JYC: CSM17 Useful Websites & Journals Bioinformatics Journal (formerly Computer Applications in the Biosciences) FAQ Website: Kew Gardens: Natural History Museum:

JYC: CSM17 References Gibas & Jambeck (2001). Bioinformatics Computer Skills. Chapter 1: Biology in the computer age. Attwood & Parry-Smith (1999). Introduction to Bioinformatics. Chapter 1: Introduction. Krane & Raymer (2003). Fundamental concepts of Bioinformatics (Preface)