1 Rong-I Hong, D.Phil. An Overview for Bioinformatics Rong-I Hong, D.Phil. Biomedical Engineering Center Industrial Technology Research Institute

Slides:

Advertisements

Similar presentations

Martin John Bishop UK HGMP Resource Centre Hinxton Cambridge CB10 1 SB

Advertisements

Using bioinformatics for better understanding of genes Becky Seipelt Karla Marriott Arlin Toro Vilma Martinez Roger Lui

Prof. Carolina Ruiz Computer Science Department Bioinformatics and Computational Biology Program WPI WELCOME TO BCB4003/CS4803 BCB503/CS583 BIOLOGICAL.

August 19, 2002Slide 1 Bioinformatics at Virginia Tech David Bevan (BCHM) Lenwood S. Heath (CS) Ruth Grene (PPWS) Layne Watson (CS) Chris North (CS) Naren.

Bioinformatics for biomedicine Summary and conclusions. Further analysis of a favorite gene Lecture 8, Per Kraulis

Bioinformatics For MNW 2 nd Year Jaap Heringa FEW/FALW Integrative Bioinformatics Institute VU (IBIVU) Tel ,

CSE 591 (99689) Application of AI to molecular Biology (5:15 – 6: 30 PM, PSA 309) Instructor: Chitta Baral Office hours: Tuesday 2 to 5 PM.

The Golden Age of Biology DNA -> RNA -> Proteins -> Metabolites Genomics Technologies MECHANISMS OF LIFE Health Care Diagnostics Medicines Animal Products.

Introduction to Bioinformatics Spring 2008 Yana Kortsarts, Computer Science Department Bob Morris, Biology Department.

Role of IT in Bioinformatics Naveena.Y. What is bioinformatics ? Study of Information content and information flow in biological systems and processes.

Bioinformatics: a Multidisciplinary Challenge Ron Y. Pinter Dept. of Computer Science Technion March 12, 2003.

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.

Bio 465 Summary. Overview Conserved DNA Conserved DNA Drug Targets, TreeSAAP Drug Targets, TreeSAAP Next Generation Sequencing Next Generation Sequencing.

BI420 – Course information Web site: Instructor: Gabor Marth Teaching.

The Central Dogma of Molecular Biology (Things are not really this simple) Genetic information is stored in our DNA (~ 3 billion bp) The DNA of a.

Signaling Pathways and Summary June 30, 2005 Signaling lecture Course summary Tomorrow Next Week Friday, 7/8/05 Morning presentation of writing assignments.

ExPASy - Expert Protein Analysis System The bioinformatics resource portal and other resources An Overview.

341: Introduction to Bioinformatics Dr. Natasa Przulj Deaprtment of Computing Imperial College London

Login: BITseminar Pass: BITseminar2011 Login: BITseminar Pass: BITseminar2011.

Overview of Bioinformatics A/P Shoba Ranganathan Justin Choo National University of Singapore A Tutorial on Bioinformatics.

Cédric Notredame (30/08/2015) Chemoinformatics And Bioinformatics Cédric Notredame Molecular Biology Bioinformatics Chemoinformatics Chemistry.

9/30/2004TCSS588A Isabelle Bichindaritz1 Introduction to Bioinformatics.

Bioinformatics.

Databases in Bioinformatics and Systems Biology Carsten O. Daub Omics Science Center RIKEN, Japan May 2008.

Chapter 14 Genomes and Genomics. Sequencing DNA dideoxy (Sanger) method ddGTP ddATP ddTTP ddCTP 5’TAATGTACG TAATGTAC TAATGTA TAATGT TAATG TAAT TAA TA.

Bioinformatics for biomedicine

Master’s Degrees in Bioinformatics in Switzerland: Past, present and near future Patricia M. Palagi Swiss Institute of Bioinformatics.

A Lite Introduction to (Bioinformatics and) Comparative Genomics Chris Mueller November 18, 2004 Based on the Genomics in Biomedical Research course at.

Bioinformatics Why Can’t It Tell Us Everything?. Bioinformatics What are our Data Sets? Interested in information flow with cells Currently, the key information.

Social Networks in Most Visible Form. Social Networking Techniques in Business Several social networking techniques can help us in reaching maximum number.

Intelligent systems in bioinformatics Introduction to the course.

CSCI 6900/4900 Special Topics in Computer Science Automata and Formal Grammars for Bioinformatics Bioinformatics problems sequence comparison pattern/structure.

Bioinformatics For MNW 2 nd Year Jaap Heringa FEW/FALW Centre for Integrative Bioinformatics VU (IBIVU) Tel ,

Bioinformatics: Theory and Practice – Striking a Balance (a plea for teaching, as well as doing, Bioinformatics) Practice (Molecular Biology) Theory: Central.

Copyright © 2009 Pearson Education, Inc. Genomics, Bioinformatics, and Proteomics Chapter 21 Lecture Concepts of Genetics Tenth Edition.

Biological Databases Biology outside the lab. Why do we need Bioinfomatics? Over the past few decades, major advances in the field of molecular biology,

REMINDERS 2 nd Exam on Nov.17 Coverage: Central Dogma of DNA Replication Transcription Translation Cell structure and function Recombinant DNA technology.

Harbin Institute of Technology Computer Science and Bioinformatics Wang Yadong Second US-China Computer Science Leadership Summit.

Predicting protein degradation rates Karen Page. The central dogma DNA RNA protein Transcription Translation The expression of genetic information stored.

Mining Biological Data. Protein Enzymatic ProteinsTransport ProteinsRegulatory Proteins Storage ProteinsHormonal ProteinsReceptor Proteins.

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.

Central dogma: the story of life RNA DNA Protein.

EB3233 Bioinformatics Introduction to Bioinformatics.

An overview of Bioinformatics. Cell and Central Dogma.

Bioinformatics lectures at Rice University Li Zhang Lecture 11: Networks and integrative genomic analysis-3 Genomic data

341- INTRODUCTION TO BIOINFORMATICS Overview of the Course Material 1.

GeWorkbench Overview Support Team Molecular Analysis Tools Knowledge Center Columbia University and The Broad Institute of MIT and Harvard.

 What is MSA (Multiple Sequence Alignment)? What is it good for? How do I use it?  Software and algorithms The programs How they work? Which to use?

1 Survey of Biodata Analysis from a Data Mining Perspective Peter Bajcsy Jiawei Han Lei Liu Jiong Yang.

Lecture 1.01 Developing the Tools Montreal 2004 Course Introduction John J. Salama.

Bioinformatics Professor: Monica Bianchini Department of Information Engineering and Mathematics E–mail: Phone: 1012.

BME435 BIOINFORMATICS.

생물정보학 Bioinformatics.

High-throughput Biological Data The data deluge

Predicting Active Site Residue Annotations in the Pfam Database

Genomes and Their Evolution

KEY CONCEPT Entire genomes are sequenced, studied, and compared.

KEY CONCEPT Entire genomes are sequenced, studied, and compared.

9 Future Challenges for Bioinformatics

KEY CONCEPT Entire genomes are sequenced, studied, and compared.

EXTENDING GENE ANNOTATION WITH GENE EXPRESSION

Bioinformatics For MNW 2nd Year

LESSON 1 INTNRODUCTION HYE-JOO KWON, Ph.D /

Evolution of Genomes Chapter 21.

KEY CONCEPT Entire genomes are sequenced, studied, and compared.

Introduction to Bioinformatics

KEY CONCEPT Entire genomes are sequenced, studied, and compared.

SUBMITTED BY: DEEPTI SHARMA BIOLOGICAL DATABASE AND SEQUENCE ANALYSIS.

Presentation transcript:

1 Rong-I Hong, D.Phil. An Overview for Bioinformatics Rong-I Hong, D.Phil. Biomedical Engineering Center Industrial Technology Research Institute

2 Rong-I Hong, D.Phil. rWhat is bioinformatics in your mind now? rWhy do you want to take this bioinformatics course? rWhat do you expect from this course?

3 Rong-I Hong, D.Phil.

4 How Genes Work? Source: The Economist 356, 56 (2000)

5 Rong-I Hong, D.Phil. Central Dogma rData Storage and Information Flow n DNA n RNA n Protein replication transcription translation

6 Rong-I Hong, D.Phil. Biological Macromolecules n DNA n RNA n Protein

7 Rong-I Hong, D.Phil. Bioinformatics rBioinformatics  Solving the biological problems with IT. r IT  Hardware  Software r E-business  Hardware  Software  Content  Application

8 Rong-I Hong, D.Phil. Data Storage & Information Flow n DNA n RNA n Protein replication transcription translation Biological Function Pharmaceutical Implication Healthcare Significance

9 Rong-I Hong, D.Phil. Logical Flow rDatabase rAlgorithms rApplications SequenceStructureFunction

10 Rong-I Hong, D.Phil. integration Doing Biology with Engineering - IT & Chip Technology n Excessive Biochemical Data

11 Rong-I Hong, D.Phil. Database rPrimary Protein Database (Sequence or Structure)  Swiss Prot (sequence) and PDB (structure). rProcessed Protein Database (Sequence or Structure)  Pfam (sequence) and SCOP (structure). rGene Database (Sequence)  GenBank (sequence) and UniGene (transcript map).  Genomes  EST rMetabolism and Pathways  BRITE, PathDB rValue-added Database rText and Knowledge

12 Rong-I Hong, D.Phil. Algorithms rLanguage Theory rStatistical Analysis rHidden Markov Model rNeural Network rArtificial Intelligence and Machine Learning rGenetic Algorithms rDynamics Programming

13 Rong-I Hong, D.Phil. Applications rSequence Analysis  Database Searching and Multiple Sequence Alignments  Phylogene Analysis  Gene Finding and Prediction  Gene Annotation and Assembly rStructure/Function Analysis  Structural Comparison  Structure/Function Prediction  Protein Design

14 Rong-I Hong, D.Phil. Applications rExperiment Data Analysis  Gene Expression Profiling  Proteomics Analysis  Intermolecular Interactions rKnowledge Management  Text Comparison  Natural Language Processing  Data Mining

15 Rong-I Hong, D.Phil. Bioinformatics Spectrum

16 Rong-I Hong, D.Phil. 512 CPUs, 128 Nodes GFLOPS #31 on the Top500 List AlphaServer SC/Tru64 UNIX at LLNL Hardware

17 Rong-I Hong, D.Phil. QUIZ rBriefly picture what the bioinformatics looks like in your mind before and after this lecture. rFind you partner in the opposite background, i.e. (math to bio) or (bio to math), work as a team throughout this semester.

18 Rong-I Hong, D.Phil. References rIntroduction to Bioinformatics  T. K. Attwood and D. J. Parry-Smith  ISBN:  Longman  Chapters 1, 2, 3 and 4.