| What is the MMB-network?
The
network will be a medium to present and discuss methods
for the behavioural phenotyping of mouse mutants
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- regular
symposia will provide
space for intensive working, coming into
contact, for discussing and for the
setting of new milestones for the future.
- A mailing-list serves the
continuos exchange of information between
the network members and will be a forum
for all phenotyping related topics.
Scientists from all involved research
areas will provide and get a quick
response to questions.
- A database guarantees easy
access to methodical data and a
standardised presentation of the data.
- The
network will provide an electronic method
form that will make it possible to
present detailed data in a standardised
way.
- The
network members will be involved in the
development of the form.
- The
detailed descriptions will include test-methods,
housing- conditions, animal- and
apparatus specifications.
- The
completed form and the corresponding
reference will be integrated into the
database .
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As local organisers of the Symposium
Behavioural Phenotyping of Mouse Mutants,
February 17-19, 2000 in Cologne, Germany we
realised a great interest in the behavioural
phenotyping of mouse mutants and in the
optimisation and standardisation of test methods.
During the Symposium it
became obvious that it is necessary to find an
interdisciplinary consensus for the phenotyping
of mouse mutants.
A consensus does not mean
that all scientist have to use identical test
conditions it means, that they have to consent to
the fact that a consideration of all the
parameters that might affect`the performance of
the animals within a test is necessary.
The establishment of a
consensus is a fluent process which makes a
continuos exchange of knowledge necessary.
A non-profit internet-based
network is an ideal instrument to make this
exchange of knowledge possible.
Many of the
published data on methods applied in studies on
the behavioural phenotyping of mouse mutants are
incomplete. They do not provide all the
information necessary to reproduce a test setting
and to compare published data. It is necessary to
make the existing data transparent.
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