Research Interests:

We use quantitative whole genome and proteome measures to guide computational modeling of regulatory and enzymatic networks in microbial and mammalian cells. We develop technologies based on bioinformatics, microarrays, mass-spectrometry, automation, multiplexing, microfluidics, and homologous-recombination genome engineering. We have recently used these to discover new regulatory motifs involved in cell-cycle control, stress response, and many other systems biology components.

Selected Publications

(others are on our web page):

Badarinarayana, V, Estep, PW, Shendure, J, Edwards, J, Tavazoie, S, Lam, F and Church, GM (2001). Selection analyses of insertional mutants using subgenic-resolution arrays. Nature Biotechnology 19: 1060-5.(web supplement)

Pilpel, Y, Sudarsanam, P and Church, GM (2001). Identifying regulatory networks by combinatorial analysis of promoter elements. Nature Genetics 29(2):153-9. (Supplementary info).

Chen, T, Jaffe, JD. and Church, GM (2001). Algorithms for Identifying Protein Cross-links via Tandem Mass Spectrometry. Recomb 2001. J Comput Biol. 8(6):571-583.

Segre, D, Vitkup, D, and Church, GM (2002) Analysis of optimality in natural and perturbed metabolic networks . Proc. Nat. Acad. Sci USA 99: 15112-7.

Zhu,J, Shendure,J, Mitra, RD, Church, GM (2003) Single Molecule Profiling of Alternative Pre-mRNA Splicing. Science (in press).