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The Keck Center of the Gulf Coast Consortia has recently established a new training program in biomedical discovery from large scale data sets. Supported by an NIH funded training grant, the training program is designed in response to the recent Roadmap Initiative, Training for a New Interdisciplinary Workforce (http://grants.nih.gov/grants/guide/rfa-files/RFA-RM-06-006.html).
The goal of this program is to train students to become proficient in the following areas:
1. Data acquisition. This will include knowledge of the methods of genomics, proteomics and imaging.
2. Computation. This will include knowledge of mathematical and statistical algorithms, implementation of effective computer codes as well as an emphasis on methods of data warehousing in relational, deductive and other databases.
3. Data integration. This is a critical area that involves extracting useful information from the heterogeneous data sets at various spatial and temporal scales. It will include knowledge of methods of modeling and simulation of systems from the molecular to the organismal level. There will also be an emphasis on computational data mining methods.
The core of the program will be research-based training in interdisciplinary teams under the guidance of at least two mentors from disparate disciplines (i.e., computational/mathematical and biomedical sciences).
For information about
the Gulf Coast Consortia (GCC),
other Keck Center Training Programs,
and
the GCC Research Consortia,
please go to GCC Home
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