Transcript Template A

Computational Sciences within NIGMS
Protein Ontology Meeting, Georgetown, June 18, 2014
Veerasamy “Ravi” Ravichandran, Ph.D.
Program Director
Biomedical Technology, Bioinformatics and Computational Biology
NIGMS/NIH
National Institutes of Health
Office of the Director
National
Cancer Institute
National Institute
of
Biomedical
Imaging and
Bioengineering
National
Institute on
Minority
Health and
Health
Disparities
National
Heart, Lung,
and Blood Institute
National
Eye Institute
Eunice Kennedy
Shriver
National Institute
of
Child Health
and Human
Development
National
Institute of
Neurological
Disorders
and Stroke
National Institute
on Deafness
and Other
Communication
Disorders
National
Institute of
Nursing
Research
National
Human Genome
Research Institute
National Institute
of
Dental and
Craniofacial
Research
National
Library of
Medicine
National
Institute
on Aging
National Institute
of Diabetes and
Digestive and
Kidney Diseases
National
Center for
Complementary
and Alternative
Medicine
National Institute
on Alcohol Abuse
and Alcoholism
National Institute
on
Drug Abuse
National
Center for
Advancing
Translational
Science
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National Institute
of Environmental
Health Sciences
John E. Fogarty
International
Center for
Advanced
Study in the
Health Sciences
27 Institutes and Centers
National Institute
of Allergy and
Infectious Diseases
Clinical
Center
National Institute
of Arthritis and
Musculoskeletal
and Skin Diseases
National Institute
of
General Medical
Sciences
National Institute
of Mental Health
Center for
Scientific
Review
Center for
Information
Technology
NIGMS Organizational Chart
Office of the Director
Jon R. Lorsch, Ph.D.
Director
Division of
Extramural
Activities
Ann Hagan, Ph.D.
Director
Division of Biomedical
Technology,
Bioinformatics, and
Computational Biology
Susan Gregurick, Ph.D.
Director
v
Division of Cell Biology
and Biophysics
Catherine Lewis, Ph.D.
Director
Division of Genetics and
Developmental Biology
Judith H. Greenberg,
Ph.D.
Director
Division of Pharmacology,
Physiology, and
Biological Chemistry
Michael Rogers, Ph.D.
Director
Division of Training,
Workforce Development,
and Diversity
Alison Hall, Ph.D.
Acting Director
Office of Scientific Review
Helen Sunshine, Ph.D. Chief
Biomedical Technology Branch
v
Bioinformatics and
Computational Biology Branch
v
Office of Program Analysis and Evaluation
Paul Sheehy, Ph.D.
Acting Chief
Office of Emergency Care Research
Jeremy Brown, M.D. Director
Office of Communications and Public Liaison
Ann Dieffenbach, Chief
Office of Administrative Management
Sally Lee, Chief
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NIGMS Mission
• Promote fundamental research on living
systems to lay the foundation for advances in
disease diagnosis, treatment and prevention.
• Enable the development of the best trained, most
innovative and productive biomedical workforce
possible.
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NIGMS Budget Percentage Share by Mechanism FY
2013 Appropriation
Intramural
R&D Contracts RMS
0%
3%
2%
Other Research
7%
centers
19%
Training
8%
RPGs
58%
SBIR/STTR
3%
FY 2014 NIGMS budget: 2.359 billion
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RPGs:
R00
R01
R15
R21
R37
P01
DP1
DP2
U01
Targeted support for specific areas of research
increased during the budget doubling
300
120
$ in Targeted FOAs
12
11
10
09
08
07
% Inves gator-ini ated
13
20
20
20
20
20
20
20
05
04
03
02
06
20
20
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20
20
20
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01
0
00
0
99
20
98
50
97
40
96
100
95
60
94
150
93
80
92
200
91
100
90
250
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NIGMS Funds in Targeted Research ($ in Millions)
% Inves gator-ini ated
Jim Deatherage, NIGMS
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Biomedical Technology, Bioinformatics and Computational
Biology Division
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Develop innovative tools and
methods to understand biological
systems, from molecular and
subcellular to physiological and to
population scales
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Support multidisciplinary research and rapid translation of new
technologies to biomedical researchers
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Create training opportunities that are scientifically integrative
and interdisciplinary
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BBCB’s Funding Mechanism
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R01 (Research Projects Grants)
R03 (Small Research Grants)
R13 (Conference Grants)
R15 (Academic Research Enhancing Awards, AREA)
R21 (Exploratory/Developmental Award)
R24 (Resource-Related Research Projects)
R25 (Education Projects; courses, training, evaluation)
R41/42 (Small Business Technology Transfer, STTR, grants)
R43/44 (Small Business Innovation Research, SBIR, grants)
P01 (Research Program Projects)
P41 (Research Program Centers; e.g., BTRR)
P50 (Research Program Centers; e.g., Systems Biology Centers)
U01/U24/U27 (Cooperative agreements)
T32 (Pre-doctoral Training; investigator-initiated)
F31 (Individual pre-doctoral fellowship)
F32 (Individual post-doctoral fellowship)
F33 (senior scientists, change in the direction of research)
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Biomedical Technology, Bioinformatics and Computational Biology
Research Enterprise
Biomedical Technology Research Resources
Centers are unique and multidisciplinary in the development
and rapid translation of new technologies that transform our
approach in understanding biomedical problems.
Instrumentation and Technologies for
Biomedical Applications
Technology-driven, investigator-initiated research in new or
improved instruments, technologies, devices and
methodologies that have broad application to biomedical
research.
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Biomedical Technology, Bioinformatics and Computational Biology
Research Enterprise
Computational and Systems Biology
New approaches, algorithms and methods for an
integrative understanding of complex biological
processes
Mathematical and Statistical Modeling
Promote research at the interface of the biological and
mathematical sciences.
MIDAS - Modeling of Infectious Disease Agent
Study
Collaborative research to model the dynamics of
infectious diseases
Data Sciences
New shared computing algorithms and bioinformatics
methods to manage, visualize and analyze complex
scientific data, including standards and ontology
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Biomedical Technology Research Resources (P41)
Multidisciplinary development, rapid application, and translation of
new technologies that change our approach to biomedical problems.
Technology R&D
 Instruments, software, methods
 Multidisciplinary
 Science
 Engineering
 Medicine
Collaboration
and Service
 biomedical research
projects
 access
 technical assistance
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Technical
innovations solve
problems.
Problems drive
technologies.
Training
 peer training
 use of center technology
 workshops, courses, and
symposia
Driving Biomedical
Projects
 Intensive collaborations with
biomedical laboratories
 Translational
 pushes limits of technology
Dissemination
 direct distribution
 commercialization
 workshops and
symposia
Resource for Analysis, Visualization, and
Integration of Networks (RAVIN)
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P41 funding mechanism
PI: Trey Ideker, UCSD
Data-driven Science
o
Data-driven Ontology
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Network-extracted Ontology (NeXO)
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BBCB supported Ontology Related Programs
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R01s:
1. Title: Collaborative Development of Biomedical Ontologies and
Terminologies
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PI: Mark Musen, Stanford University
2. Title: PRO: A Protein Ontology in OBO Foundry for Integration of
Biomedical Knowledge
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Training grants (T32s):
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1. Title: Biological and Medical Informatics (BMI) Ph.D. program (predoctoral)
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PI: Patricia Babbitt, UCSF
2. Title: Training Program in Bioinformatics
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PI: Cathy Wu, University of Delaware
PI: Brian Athey, University of Michigan
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BBCB Partnerships
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Biomedical Information Science and Technology Initiative (BISTI)
Promote the optimal use of computer science and technology to address problems in
biology and medicine by fostering collaborations and interdisciplinary initiatives
•
Big Data to Knowledge Initiative (BD2K)
Develop new approaches, standards, methods, tools, software and competencies that will
enhance the use of biomedical Big Data by supporting research, implementation and
training in the data sciences
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Interagency Modeling and Analysis Group (IMAG)
Provide an open forum for communication among government representatives for transagency activities that have a broad impact in science
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NSF/NIGMS
Initiative to support research at the interface of biological and mathematical sciences
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NIH/DOE
Partnership for stewardship of synchrotron beamlines for structural biology and other
national laboratory BTRC activities
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Biomedical Information Science and Technology
Initiative (BISTI)
• Consortium of representatives from each of the
NIH institutes and centers
• Established in May 2000 to serve as the focus of
biomedical computing issues at the NIH
• To make optimal use of computer science and
technology to address problems in biology and
medicine by fostering new basic understandings,
collaborations, and transdisciplinary initiatives
between the computational and biomedical
sciences.
http://www.bisti.nih.gov (Susan Gregurick, Director, BBCB)
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New BISTI Funding Opportunities
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Early Stage Development of Technologies in Biomedical Computing,
Informatics, and Big Data Science (R01) PA-14-155 and (R43/R44) PA14-154
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Major themes of research include:
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collaborative environments and technologies
data integration
analysis and modeling methodologies;
novel computer science and statistical approaches.
This initiative aims to address biomedical research areas in biomedical
computing, informatics, and big data science through the early stage
development of new software, tools and related resources, as well as the
fundamental research (e.g., methodologies and approaches) leading up to that
development.
•
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Cross-disciplinary collaborations are strongly encouraged
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New BISTI Funding Opportunities
•
Extended Development, Hardening and Dissemination of Technologies in
Biomedical Computing, Informatics and Big Data Science (R01) PA-14-156
and (R41/R42) PA-14-157
•
Major themes of research include:
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collaborative environments and technologies
data integration
analysis and modeling methodologies;
novel computer science and statistical approaches.
The proposed work should apply best practices and proven methods for
software design, construction, and implementation to extend the applicability
of existing technologies in biomedical computing, informatics and big data
science to a broader biomedical research community
•
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Cross-disciplinary collaborations are strongly encouraged
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BD2K: Facilitating the broad use of data
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Making Data Available
o Recommending to change the policies, practices and
culture of communities with regard to data
• Enabling Research Use of Clinical Data
•
Making Data Usable
1. NIH Standards Information Resource
• To collect, organize and make available to the public
trusted, systematically organized, and curated
information about data-related standards that are
widely-used in biomedical research and related
activities.
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BD2K: Facilitating the broad use of data
•
Making Data Usable (cont.)
2. Frameworks for Community-Based Standards Efforts:
• Establish a framework of policies, governance,
administrative procedures, and funding to routinely
support community-based standards efforts, and
• Use that framework to provide catalytic support for
particularly opportune efforts under BD2K that are
broadly relevant to biomedical research.
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Making data Discoverable
o Development of an NIH BD2K Data Discovery Index Coordination
Consortium
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Creating the connected biomedical digital
research enterprise
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Digital Assets;
o The research assets that were once physical – lab
notebooks on the shelf, images as hardcopy, software
as punched cards, journals as hardcopy, etc., are now
digital.
o Include data (of various types), software, workflows,
publications, and more, not only increase the pace of
the scientific process, but also allow connections to be
made and patterns to be discovered that were
previously hidden.
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Biomedical Research as a Connected Digital
Enterprise
•
To do:
o Expanding metrics of scientific productivity beyond
publications
o Supporting Reproducible Science
o Increasing productivity and reducing costs while
supporting increased creativity and impact
o Improved interoperability
o Advancing analysis and modeling
o Supporting a new work force
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NIGMS: Investing in Discovery
Division Overview: www.nigms.nih.gov/About/Overview/bbcb.htm