Telephone: (514) 398-5458
e-mail address: email@example.com
for Thesis Supervision:
1. Identifying and characterizing gene networks
involved in altering diabetes risk.
2. Developing new analytic approaches to
identify transcription networks using gene expression and ChIP-seq data.
3. Developing wet lab techniques to identify
transcriptional networks involved in diabetes and other metabolic
Rajan, S., Chu Pham Dang, H., Djambazian, H.,
Zuzan, H., Fedyshyn, Y., Ketela, T., Moffat, J., Hudson, T.J. and
Analysis of early C2C12 myogenesis identifies stably and differentially
expressed transcriptional regulators whose knock-down inhibits myoblast
differentiation. "Physiological Genomics", published online 6th December
Rajan, S., Djambazian,
H., Dang, H.C.,
and Hudson, T.J. (2011)
The living microarray: a high-throughput platform for measuring
transcription dynamics in single cells. Genomics 12: 115.
Voight, B.F. et al. (2011)
Twelve type 2 diabetes susceptibility loci identified through
large-scale association analysis. Nature Genet. 42: 579-589.