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The MIA division works in 4 of INRA's priority research fields,
corresponding in some measure to the way living matter is ordered
on a scale of increasing complexity. In each of these fields,
several priority themes have been defined. The first of these
fields is a single theme. The three others make up a separate
theme.
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Bioinformatics, mathematics and informatics for
modelling from the gene to the individual
Ecology, epidemiology: the community in its environment
Managing agro-ecosystems
Food and agri-food
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Bioinformatics, mathematics
and informatics for modelling from the gene to the individual
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The objective is to develop methods for acquiring biological knowledge
at the scale of the genome, using information at the sequence
level and also data of different types such as expression, proteome
and phenotype data. A longer term objective is to identify the
roles of models in integrative biology.
Bioinformatics is no longer just a sub-field of biology but is
becoming increasingly prospective and innovative and is now in
a position to emit hypotheses for biologists to verify in their
experiments.
The priority methodological themes concerned are TM4
(given the considerable amount of data produced by molecular
biology), TM6
(given the large number of states and parameters), TM1
(regulatory networks are highly complex dynamic systems), TM3
(for analysing 2D, 3D or 4D images).
Priority themes
 Locating
functional regions on sequences
Functional
annotation
Detecting
and locating QTLs
Analysing
expression data: transcripts and proteins
Regulatory networks
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Ecology, epidemiology
: the community in its environment
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The scale here is that of the community of individuals in its
environment.
The priority methodology themes covered are TM1
(the models used are frequently complex and cause problems
of nested scales), TM2
(modelling concerning in fine analysis of environmental risks
and animal, vegetable or human health), TM3
(information is frequently spatialised and have great spatial
or temporal variability), TM5
(several management models have been designed).
Priority themes
Ecology
Epidemiology
Interaction
between Genotype, Environment and Crop Management
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Managing agro-ecosystems
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The scale here is that of the landscape in which human intervention
is a significant element.
The priority methodology themes covered are TM5
(it is necessary to take account of the behaviour of the stakeholders
and control methods can play an important role in managing certain
systems), TM3
(at this scale, phenomena are always spatialised), TM1
(models constructed at this scale include processes at lower scales,
leading to complex systems).
A priority theme
Managing
production systems
We also work outside this theme on the construction of models
describing spatial heterogeneity at field level or on the use
of satellite data. At the same time, we are developing methods
for sustainable management of water and forest resources.
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Food and agri-food
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The priority methodological themes covered are TM2
(this is clearly fundamental for the analysis of food risk), TM4
(the massive arrival of data linked to process instrumentation
and traceability requirements cause problems with the integration,
management and representation of data), TM5
(control methods are central to process management).
Priority themes
Analysing food risk
Process design and control
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update
26/02/10
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