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Dear AMMANET Colleagues,
With support from the Generation Challenge
Program of the CGIAR, we have developed the freely available
iMAS system to seamlessly facilitate identification of trait-linked
markers for use in marker-aided selection and breeding. A brief
description of the system is given at the end of this message.
Before its formal release, the system needs
to be intensively tested on as many diverse real datasets as possible. To
this end, we are organizing a one-week workshop at ICRISAT Patancheru
(India) during 14-18 May 2007. We expect to have around 15
participants with as wide a range of crops and data sets as possible.
Thus, we are interested to know if any member of AMMANET would like to be
considered for participation.
Every workshop participant must have
(a) Genotyping data and plot-level
phenotyping data for Population-based Linkage Map Construction and QTL
Analysis, and/or
(b) Genotyping data and plot-level
phenotyping data for Germplasm-based Association Analysis.
If you are
interested, we would very much
appreciate if you could kindly let us know about the data you have on (a)
and/or (b) above in as much detail as possible. This will enable us to
determine your suitability to participate in the workshop. Preference
would be given to those who are themselves directly involved in actually
undertaking QTL Analysis and/or Association Analysis and have previous
experience in the conduct of these analyses.
Please send us the requested information by
email (d.hoisington@cgiar.org)
latest by Friday 30 March.
We plan to extend formal invitations in
early April to allow sufficient time for travel and visa arrangements. We
will cover the full expenses of the invited participants.
Regards,
Dave Hoisington
Global Theme Leader – Biotechnology
ICRISAT,
Patancheru – 502 324,
India
The iMAS System
iMAS provides a single unified
computing and decision support platform to seamlessly facilitate
identification of trait-linked markers for use in marker-aided selection
and breeding by seamlessly integrating and implementing the required
computational processes, and providing guidelines for correct application
and interpretation of computational tools. After the user provides the
required initial data, iMAS frees the user from the pain of
time-consuming error-prone manual creation of input data files needed by
different software. iMAS provides two approaches to trait-linked
marker identification (a) The mapping-population-based QTL
analysis, (b) The germplasm-based Association
Analysis. iMAS has three main modules (1) The
Phenotyping module - this is common to both approaches, (2) The
Mapping Population module for Linkage Mapping and QTL
Analysis, and (3) The Germplasm module for Association
Analysis.
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