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What funding?
Building a multi- and
interdisciplinary
research program
in Canada




Michel Dumontier, PhD
Associate Professor of Bioinformatics
Department of Biology, Institute of Biochemistry, School of Computer Science, Ottawa
Institute of Systems Biology, Ottawa-Carleton Institute of Biomedical Engineering
Carleton University
                             Schachter Memorial Lecture, University of Toronto, June 17, 2009
Past, Present and Future
• multidisciplinary beginnings
• graduate specialization
• interdisciplinary research
• next steps
Research Assistant: University of Manitoba
                             An extraordinary and eye-opening opportunity




            The Golgi Apparatus : 3D reconstruction from serial-section TEM
Research Associate: Max Planck Institute
                       Learning and having fun while doing research




                Role of small GTPase Rac in signalling and morphology
Mentor: Chris Hogue
             Innovator & Provider of Opportunities
Graduate Student Experience:
Quite the ride!
Wife: Heather Farmer
                       Unwavering supporter
Goals
• Pursue interesting research
• Develop practical skills
• Become knowledgeable
• Improve communication skills
• Publish research
• Track progress
Develop skills and stand out
Bioinformatics

Emerging area
- high profile (HGP)
- few qualified individuals
- specialization barrier

Empowering
Quick n Dirty
                               Estimating the number of human genes
                                                                                         Jan 24, 2001
                  35000

                                                            y = 3995.4Ln(x) - 55156
                  30000

                                                                                         32000
                  25000
Number of Genes




                  20000



                  15000



                  10000



                  5000



                      0
                    1.00E+05       1.00E+06   1.00E+07         1.00E+08       1.00E+09        1.00E+10
                                                  Genom e Size (bp)



       Feb 15, 2001 - 30,000–40,000                                   March 9, 2009 : 32,484
Knowledge Discovery:
            A family of species-specific predictive tools



                                                                                                                      1


                                                                                                                     0.8


                                                                                                          0.6        0.6


                                                                                                          0.4        0.4


                                                                                                          0.2        0.2


                                                                                                          0                0


                                                                                                      -0.2           -0.2


                                                                                                      -0.4            -0.4


                                                                                                      -0.6            -0.6
                                                                                                TYR VAL                                                                                                                                                                           TYR
                                                                                        THR TRP
                                                                                PRO SER                                                                                                                                                                                       SER
                                                                  LYS   MET PHE
                                                      ILE   LEU                                                       -0.8
                                          GLY   HIS                                                                                                                                                                                                                         MET
                              GLN   GLU
                  ASP   CYS
      ARG   ASN                                                                                                                                                                                                                                                       ILE
S1




ALA                                                                                                                        -1


                                                                                                                2D



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                                                                                                                                                                                                                                                        PEP
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Chart your progress
John R. Glover




   Régis Pomès



                  Julie Forman-Kay


The Committee:
At your service                      Walid A. Houry
Master the Art of Presentations
Engage your audience
Find exuberance in writing
Be a part of something bigger than you
You’re ready when you’re
pretty much independent
     (and your committee agrees)
Post-Doc: Blueprint Initiative




                                Protein Small
                             Molecule Interactions
Hardware Accelerated
Protein Identification for    Chemical Ontology
Tandem Mass Spectrometry
The Post-Doc

• chart a new direction
• result-oriented projects
• learn to write grants
• collaborate
• network
Career choices

• business
• government
• academia
Newly Minted Prof 
The
10 / 90
 rule
Planning the Research Enterprise
Cellular Visions: The Inner Life of a Cell
Personalized Medicine

Knowledge Representation and Reasoning

Dynamic Systems Modeling and Simulation

     Computational Drug Discovery

      High Performance Computing
I want to make available our collective biochemical
knowledge for learning and answering questions




 Web search engines just aren’t enough
Surface web:
167 terabytes

Deep web:
91,000 terabytes

545-to-one
Data silos – not made for sharing
The Semantic Web will expose data
       and link knowledge
Competitive intelligence
Strategy
Interdisciplinary Research:
Biochemical Knowledge Representation and
               Reasoning

                 Biochemistry




                                Computer
         Logic
                                 Science




                  Ontology
You want to join the knowledge web
Bio2RDF provides the
methodology to create and
glue these different
networks.
something you can lookup or
search for with rich descriptions
Ontology
as Strategy
OWL Has Explicit Semantics




Can therefore be used to captured knowledge in
        a machine understandable way
Grant
writing
Few (can) see it your way
Paraphrasing

“unrealistic and overly ambitious research”

“proposes to solve problems that have been
worked on for decades”

“nothing particularly novel from a CS POV”

“requires a ontologist”
Grant Reviews on Interdisciplinary
            Research
Pet: Killer
              Psychological therapist
Carve out a more
focused proposal
You’ll (eventually) get funded
            • it may be less than you asked for
             • but you’ll be able to build a team
              • and do the research you want to
$38,000

$19,200



          $15,000
Building your team
Trust and Responsibility
Watching students learn and
develop is awesome
Balancing
innovative research
        with
   great teaching
        is an
 underappreciated
     challenge
Teaching 101




Do you have what it takes to be a great teacher?
General Biochemistry I - Mid Term

             25



             20
% Students




             15



             10



             5



             0




                              Mean 52%±16
“It isn’t that you had bad questions,
 you just had too many good ones”

                          Anthony Marini
                                 Instructor
      Faculty Teaching Certificate Program
BIOC3101 - Mark Distribution

14


12


10


 8                                                          midterm
                                                            makeup
 6                                                          current


 4


 2


 0
     0   10   20   30    40    50    60    70     80   90
Orchestrate
                       Tie teaching to research




Research is exciting to undergraduates!
Tenure and Promotion
Publish early
Publish often
Publish open
Next Steps
             Knowledge Dissemination
                 Community Building
                     Knowledge Web
Agreement on data standards may be
  contentious among stakeholders.
Share your data
Bridge your data
with others in
semantic
communities
(data networks).
Build a
knowledge base
from a series of questions
Plan for the future, but take it one step at a time
                    Develop your skills and expertise

                            Target an emerging area

                                Check your ambition

                                           Think big.
My thanks to
•   Family                  • Dumontier Lab
•   Hogue Lab                     –   Leonid Chepelev
                                  –   Natalia Villanueva-Rosales
•   Advisory Committee            –   Alex De Leon
•   Biochem Faculty               –   Mykola Konyk
                                  –   Jose Cruz
•   BGSU                          –   Glen Newton
•   Drinking buddies              –   Alison Callahan
                            • Collaborators
• Carleton Faculty                –   Jim Green
    – Jim Cheetham                –   Bill Willmore
                                  –   Bijan Parsia
                                  –   Carole Yauk & Paul White
                                  –   W3C HCLSIG /OWLWG


                           Slides - Scott Brinker @ Chief Marketing Technologies
dumontierlab.com
michel_dumontier@carleton.ca

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