1 rong-i hong, d.phil. an overview for bioinformatics rong-i hong, d.phil. biomedical engineering...
DESCRIPTION
3 Rong-I Hong, D.Phil.TRANSCRIPT
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1Rong-I Hong, D.Phil.
An Overview for Bioinformatics
Rong-I Hong, D.Phil.Biomedical Engineering CenterIndustrial Technology Research
Institute
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2Rong-I Hong, D.Phil.
What is bioinformatics in your mind now?Why do you want to take this
bioinformatics course?What do you expect from this course?
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3Rong-I Hong, D.Phil.
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How Genes Work?
Source: The Economist 356, 56 (2000)
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5Rong-I Hong, D.Phil.
Central Dogma
Data Storage and Information Flow
DNA RNA Protein
replication
transcription
translation
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6Rong-I Hong, D.Phil.
Biological Macromolecules
DNA RNA Protein
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7Rong-I Hong, D.Phil.
Bioinformatics
BioinformaticsBioinformaticsSolving the biological problems with
IT. IT IT HardwareSoftware
E-business E-business HardwareSoftwareContentApplication
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8Rong-I Hong, D.Phil.
Data Storage & Information Flow
DNA RNA Protein
replication
transcription
translation
Biological Function
Pharmaceutical Implication
Healthcare Significance
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9Rong-I Hong, D.Phil.
Logical Flow
DatabaseDatabaseAlgorithmsAlgorithmsApplicatioApplicatio
nsns
SequenceSequenceStructureStructureFunctionFunction
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10Rong-I Hong, D.Phil.
integration
Doing Biology with Engineering - IT & Chip Technology
Excessive Biochemical Data
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11Rong-I Hong, D.Phil.
Database
Primary Protein Database (Sequence or Primary Protein Database (Sequence or Structure)Structure)
Swiss Prot (sequence) and PDB (structure).Processed Protein Database (Sequence or Structure)Processed Protein Database (Sequence or Structure)Pfam (sequence) and SCOP (structure).Gene Database (Sequence)Gene Database (Sequence)GenBank (sequence) and UniGene (transcript map).GenomesEST Metabolism and PathwaysMetabolism and PathwaysBRITE, PathDBValue-added DatabaseValue-added DatabaseText and KnowledgeText and Knowledge
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12Rong-I Hong, D.Phil.
Algorithms
Language TheoryLanguage TheoryStatistical AnalysisStatistical AnalysisHidden Markov ModelHidden Markov ModelNeural NetworkNeural NetworkArtificial Intelligence and Machine Artificial Intelligence and Machine
LearningLearningGenetic Algorithms Genetic Algorithms Dynamics ProgrammingDynamics Programming
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13Rong-I Hong, D.Phil.
Applications
Sequence AnalysisSequence AnalysisDatabase Searching and Multiple
Sequence AlignmentsPhylogene AnalysisGene Finding and PredictionGene Annotation and Assembly
Structure/Function AnalysisStructure/Function AnalysisStructural ComparisonStructure/Function PredictionProtein Design
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Applications
Experiment Data AnalysisExperiment Data AnalysisGene Expression Profiling Proteomics AnalysisIntermolecular Interactions
Knowledge ManagementKnowledge ManagementText ComparisonNatural Language Processing Data Mining
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15Rong-I Hong, D.Phil.
Bioinformatics Spectrum
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512 CPUs, 128 Nodes507.6 GFLOPS
#31 on the Top500 List
AlphaServer SC/Tru64 UNIX at LLNL
Hardware
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QUIZ
Briefly picture what the bioinformatics looks like in your mind before and after this lecture.
Find you partner in the opposite background, i.e. (math to bio) or (bio to math), work as a team throughout this semester.
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References
Introduction to BioinformaticsT. K. Attwood and D. J. Parry-SmithISBN: 0-582-32788-1LongmanChapters 1, 2, 3 and 4.