PRINCIPAL SCIENTIST
Mian,S

SCIENTISTS
Grate, L

STUDENTS
Molina, F

STAFF
Staff Names Coming Soon

 


My research in computational biology is centered on the complementary themes of learning predictive models from biological data and elucidating the means by which complex biological systems transmit and receive information.

 

It is motivated by the observation that the large, complex, multidimensional and often hierarchical data emerging in the genomic and post-genomic eras require new tools and techniques for data representation, visualization, modeling, analysis and simulation.

The work has two components (i) basic research into new computational and theoretical methods for studying complex biological systems and phenomena and (ii) dissemination of the results so that others can take advantage of the data and tools that are produced. Techniques such machine learning methods are being used to address areas such as protein annotation, systems modelling and radiation biology. A critical area of future research will be generation of sophisticated, linked data sets of chemical substances, molecular, cellular and tissue structure and function, reaction pathways, physiological effects and other biological outcomes.

I. Saira Mian
Staff Scientist/
Life Sciences Division

One Cyclotron Rd.
Mailstop: 29-100
Berkeley, CA 94720
tel: (510)486-6216
fax: (510)486-6949
email: SMian@lbl.gov

 

 

Rydberg, B., Holley, W.R., Mian, I.S. and Chatterjee, A. Chromatin conformation in living cells: support for a zig-zag model of the 30 nm chromatin fiber. Journal of Molecular Biology 284, 71-84 (1998).

Huang, S., Li, B., Gray, M.D., Oshima, J., Mian, I.S. and Campisi, J. The premature aging syndrome protein, Wrn, is a 3' to 5' exonuclease. Nature Genetics 20, 114-116 (1998).

Martin, G.M. and Mian, I.S. Ageing. New mice for old questions. Nature 390, 18-19 (1997).

Herbert, A., Alfken, J., Kim, Y.-G., Mian, I.S., Nishijura, K. and Rich, A. A Z-DNA binding domain present in human editing enzyme, double-stranded RNA adenosine deaminase. Proceedings of the National Acadamy of Sciences 94, 8421-8426 (1997).

Sakakibara, Y., Brown, M., Hughey, R., Mian, I.S., Sjolander, K., Underwood, R. and Haussler, D. Stochastic context-free grammars for tRNA modelling. Nucleic Acids Research 22, 5112-5120 (1994).

Krogh, A., Mian, I.S. and Haussler, D. A Hidden Markov model that finds genes in E. coli DNA. Nucleic Acids Research 22, 4768-4778 (1994).

Krogh, A., Brown, M., Mian, I. S., Sjolander, K. and Haussler, D. Hidden Markov Models in computational biology: application to protein modelling. Journal of Molecular Biology 235, 1501-1531 (1994)