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Bioinformatics Overview

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Publication of 'Jurassic Park' 1994: Flavr Savr gains FDA approval ... E. coli 4,600,000 bp 5,400 genes. Yeast 12,000,000 bp 8,000 genes ... – PowerPoint PPT presentation

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Title: Bioinformatics Overview


1
Bioinformatics Overview
  • VIBE Education Edition (VIBE-Ed) Initiative

2
Outline
  • Bio-technology Then and Now
  • Bioinformatics Golden Age?
  • Challenges in Bioinformatics
  • VIBE

3
Origins of Biotechnology
  • Early Speculation
  • 6000 BC Yeast was used to make beer by Sumerians
    and Babylonians.
  • 400 BC Hippocrates - male contribution to a
    child's heredity is carried in the semen
  • 320 BC Aristotle - all inheritance comes from
    the father. Female babies are caused by
    interference from the mother's blood.
  • 100 AD Romans speculated that mares can be
    fertilized by the wind.
  • 1673 AD Anton van Leeuwenhoek describes protozoa
    and bacteria confirms existence of sperm cells.
  • Thing are getting smaller
  • 1859 Charles Darwin - "On the Origin of
    Species
  • 1865 Gregor Mendel - laws of heredity, internal
    units of information later become known as genes
  • Converging on DNA
  • 1900 The science of genetics is born.
  • 1953 Watson and Crick propose the
    double-stranded, helical, complementary,
    anti-parallel model for DNA.

4
Origins of Biotechnology, contdThe Dawn of
Modern Biotech
  • 1977 Genentech reports the production of
    somatostatin.
  • 1980 USSC rules in that genetically altered life
    forms can be patented.
  • 1981 Scientists at Ohio University produce a
    transgenic mouse.
  • 1985 Genetic fingerprinting enters the court
    room.
  • 1989 Creation of NCHGR
  • 1990
  • Launch of Human Genome Project (Projected
    duration 15 years, projected cost 13 billion)
  • First gene therapy ethics concerns
  • Publication of Jurassic Park
  • 1994
  • Flavr Savr gains FDA approval
  • The first crude but thorough linkage map of the
    human genome appears.
  • 1995
  • DUMC researchers transplant hearts from
    genetically altered pigs into baboons
  • H. infuenzae sequence completed
  • 1998
  • C. elegans is sequenced
  • A rough draft of the human genome map is produced
  • Celera is founded Venter proposes new method to
    sequence the genome

5
Biotechnology NowGolden Age ?
  • Human genome sequence completed
  • Tens of model organism sequenced
  • Hundreds of new biotechnology companies
  • Integral component of pharmaceutical and
    agricultural research
  • Pharmaceutical benefits
  • Agricultural research benefits
  • Key source of economic growth and employment

6
Biotechnology Nowor Hype ?
  • Billions of dollars spent on research that didnt
    go anywhere
  • Unfulfilled promises, conflicting egos, lack of
    standards and interoperability, IP conflicts
  • The VC bubble, dozens of companies floundered
  • Genomics doesnt yield all the answers
  • How many genes are there, finally?

So which is it?
7
  • Well get there, but its going to take a while
    and itll be a lot more difficult than most
    people thought.
  • Significant challenges

8
DNA 101
9
Genome Sizes and Number of Genes
  • HIV Virus 9,750 bp 1,000 genes
  • E. coli 4,600,000 bp 5,400 genes
  • Yeast 12,000,000 bp 8,000 genes
  • Fruitfly 180,000,000 bp 13,400 genes
  • Chicken 1,200,000,000 bp 15-20,000 genes
  • Human 3,400,000,000 bp 25-35,000 genes
  • Gorilla 3,500,000,000 bp same as human
  • Maize 5,000,000,000 bp ?
  • Amoeba 670,000,000,000 bp ?

10
Challenge 1 Data Explosion
11
Challenge 2 Data Heterogeneity
12
DNA Fingerprinting
  • Gel electrophoresis
  • separation by charge/mass ratio through
    electrophoresis
  • unique identity of each clone based on its DNA
    sequence restriction pattern

13
DNA Sequencing
14
DNA Macroarrays
  • association of two complementary
    nucleic acid strands
  • strand acting as the probe is radiolabeled
  • hybridization event (hit) occurs when the probe
    hybridizes to a clone containing the
    complementary sequence
  • hits can be scored and a matrix of hits vs.
    probes can be created

15
DNA Microarrays
  • Array sequences
  • corresponding to
  • genes onto glass
  • slides
  • Study expression
  • patterns of those
  • genes

16
Protein/Antibody Microarrays
17
Mass Spectrometry
18
Challenge 3 Knowledge Discovery
Agent Planner Coordinator
Focused Text-Mining
Normalized Experiments
Knowledge Assembly
Semantically-Indexed Databases
Goal-directed Analyses
19
GenomicDNA
mRNA
Protein Products
Functional Protein
Biological System
activity profiling
data integration
emerging
Post-translational modification
system simulation
expression profiling
subcellular localization
qualitative protein profiling
structural determination
prototype
protein linkage maps (catalog)
protein linkage maps (dynamic)
sequencing
mature
20
Integrative Biology/Science
  • Requires the melding of traditionally divergent
    disciplines, such as
  • Molecular biology
  • Clinical research
  • Physics
  • Computer Science
  • Statistics,
  • Etc.

21
Enter Bioinformatics
  • a scientific discipline that encompasses all
    aspects of biological information acquisition,
    processing, storage, distribution, analysis and
    interpretation that combines the tools and
    techniques of mathematical and computer science
    and biology with the aim of understanding the
    biological significance of a variety of data
  • NIH publication No.90 - 1590
  • April 1990

22
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23
Roles of Bioinformatics
  • Provide infrastructure to conduct projects
  • Analysis and presentation of data
  • Research and development of new analysis tools

24
What is VIBE?
  • Visual Integrated Bioinformatics Environment
  • Bioinformatics Workflow Management
  • Drag-and-drop pipeline creation
  • Analysis parameterization
  • Bioinformatics Exploration Platform (Workbench)
  • Step-by-step process creation, filtering and
    visualization
  • Archives and templates
  • Technical Highlights
  • visual programming applied to bioinformatics
  • distributable, grid-compatible, scalable,
    extensible
  • Simple interface for centralized access to tools
    and data sources
  • Built-in reproducibility and tracking (archives,
    templates, execution monitoring, etc.)

25
The VIBE Interface
26
Tool Information
  • In-depth details on each tool and its parameters
  • Easy-to-use table of parameters
  • Notes page for user-annotation of an analysis

27
Results Visualization
  • Interactive, graphical views of results
  • Active links to external resources (e.g., Genbank)

28
System Layout
  • 100 Java
  • OS-Independent
  • Web-protocol (HTTP, SOAP, etc)
  • Multi-server, multi-client, multi-resource
  • Mix internal and external resources

29
VIBE SDK
  • Software Development Kit
  • Allows integration of in-house or 3rd party tools
    into the VIBE client or server
  • Integration API (iAPI) and guides
  • External XML configuration

30
VIBE as a Bioinformatics Teaching Platform
  • Build on existing ease-of-use and extensive help
    features
  • Allows students to explore many tools in
    biologically relevant contexts
  • Concentrate on usage of tools and correct
    application
  • Incorporate more sophisticated tracking
    capabilities, multi-media tutorial, etc.
  • Feedback critical for success and subsequent
    stages
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