Mathematical and Statistical Computing Laboratory
The Mathematical and Statistical Computing Laboratory (MSCL)
performs research and provides expert advice in the quantitative sciences to NIH researchers.
Research is performed mainly in collaboration with scientists from other institutes at NIH.
Presently, several disciplines are represented in which MSCL members have significant research capabilities.
- Numerical analysis of data from biochemical experiments and
development of theoretical models and algorithms for the
interpretation of such data.
- Statistically and mathematically oriented research that
arises from biomedical research projects. Currently, these projects include
prediction of structure and function of proteins from the amino acid sequence and
related topics; statistical analysis of the MR based diffusion
tensor images and 3D PET images; and the development of kinetic models for
the behavior of bioenergetic proteins.
- The development of analytic tools for image representation
and reconstruction, with applications of these to data.
These tools include optimized data compression,
presently exemplified by wavelet transforms.
- The application of theoretical physics and,
in particular, statistical mechanics to problems of
interest at NIH. Current applications include the development of models of
protein folding, the development and testing of models
for the electrophoretic process, and the use of random
walk and diffusion theory in problems arising from
optical imaging.
Mathematical and Statistical Computing Laboratory
Division of Computational Bioscience
Center for Information Technology
National Institutes of Health
Building 12A, Room 2039
Bethesda, MD 20892-5620
|