Request for Applications - 2012 B-CBx

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Genome Canada 2012 Bioinformatics and Computational Biology (B/CB) Competition



Request for Applications

(
http://www.genomecanada.ca/en/portfolio/research/2012
-
bcb
-
competition.aspx
)


Genome Canada (GC), in partnership with the Canadian Institutes of Health Research (CIHR),
is seeking proposals
from all GC sectors (i.e.
agriculture, energy, environment, fisheri
es,
forestry, human health and mining) for research projects in
bioinformatics

and
computational
biology
, as they relate to
genomics
.

Applications
should propose new approaches to data
analysis and interpretation, including the development of software tool
s and algorithms, and
meet the competition’s two main objectives:



Support the development of next generation bioinformatics and computational
biology tools and methodologies that will be required by the research community to
deal with the influx of large a
mounts of data produced by modern genomics
technologies; and,



Provide broad access of these new tools to the research community.


Funding will be available in
two

categories:

1.

SMALL
-
SCALE INNOVATIVE PROJECTS (SIPs)
: Research projects designed to explore
inn
ovative or transformative ideas, with the potential for being disruptive.



Individual projects can receive a maximum of $250K from GC/CIHR (total funding
available = $2.25M);



Co
-
funding from outside sources is
not required
;



Projects requiring less than $12
5K will not be considered unless very well
-
justified;



Project term: Up to two years.


2.

LARGE
-
SCALE APPLIED PROJECTS (LAPs)
: Research projects involving multi
-
disciplinary, collaborative teams that will address large
-
scale, complex problems and result
in app
lied outcomes. Longer
-
term funding will allow for the development of robust,

user
-
friendly tools needed by the genomics research community and provide the

opportunity to
propose projects that are part of larger national and international research initiativ
es.



Individual projects can receive a maximum of $500K from GC/CIHR (total funding
available = $4M);



Projects
must secure at least 50% co
-
funding from other sources
;



Project term: Up to three years.


Ineligible items:



Salaries, benefits, and associated
costs for the performance of wet lab work;



Costs for high performance computing infrastructure.


Submission Deadlines:




July 6, 2012



One
-
P
aragraph
P
roject
O
utlines

due to Office of Research Services



July 18, 2012



Registrations

due to ORS



July 20, 20
12



Registrations

due
to Genome Centres



September 17, 2012



Full Applications

(upon invitation)
due
to Genome Centres


All projects must produce deliverables with practical applicability and which b
enefit the genomic
research community in Canada and
worldwide
.
Preference will be given for proposals with a
high potential for community impact and/or uptake, so applications
must

include a plan

for
how the deliverable will be transferred, disseminated, used and/or applied to realize
benefits to the genomi
cs community
.

Previous GC competitions have emphasized end
-
user
engagement during
p
roject development and

the

identification of clear short
-
term
deliverables/benefits as key components of successful applications.
K
nowledge translation and
the wide dissemin
ation of project findings to the genomics research community

have also been
identified as key components of this competition
. Researchers are
strongly encouraged

to
address these
areas
in the earliest stages of project development.



Note:

G
enomics

is def
ined as the comprehensive study, using high
-
throughput technologies, of the
genetic information of a cell or organism, including the function of specific genes, their
interactions with each other, and the activation and suppression of genes. It includes
bi
oinformatics, epigenomics, metabolomics, metagenomics, nutrigenomics, pharmacogenomics,
proteomics, and transcriptomics.


Bioinformatics

is defined as the
development and application of computation tools and
approaches for maxi
mizing the use of genomics
data.


Computational Biology

is defined as the
development and application of theoretical data
-
analytical methods, mathematical modeling, and computational simulation techniques in the
context of
the study of biological systems.


For more information, please contact Robert Senkiw, Special Projects Officer (Institutional
Programs) at 474
-
9019 or
Robert.Senkiw@ad.umanitoba.ca
.