Mission Statement
Systems approaches are now facilitated with developments in computational statistical
methods, and the availability of multiple omics data as indispensable parts of modern
biological research. Michigan State University has multiple faculty across colleges
and departments involved in numerous ground-breaking research projects in the field
ranging from systems biology in basic science to systems medicine. Our common goal
is to assemble an interdisciplinary group of experts, based on our research synergies,
shared mathematical approaches and collaborative projects that can collaborate and
can lead MSU to becoming a leader in Systems Computational Omics.
Mission:
The goal of the Systems Computational Omics working group at Michigan State University
is to utilize computational and mathematical methods to:
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Develop state-of-the-art methodology for bioinformatics and statistical omics analyses.
- Employ systems levels analyses to describe biological systems at all scales
- Create a platform for research collaboration not only between computational but also experimental groups
- Develop a robust training program for our students and postdocs
Vision:
To utilize the interdisciplinary computational and mathematical expertise across Michigan
State University’s campuses, to enhance collaboration, development of novel methodology
and provide an interactive environment making MSU a leader in computational approaches,
both for research as well as training of the next generation of computational scientists.