User:Nizar Batada: Difference between revisions
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==Research interests== | ==Research interests== | ||
<!-- Feel free to add brief descriptions to your research interests as well --> | <!-- Feel free to add brief descriptions to your research interests as well --> | ||
# Understand how chromatin states relate to gene expression | # Understand how chromatin states relate to gene expression | ||
# How chromatin modification (DNA methylation and histone modification) are established and maintained in | # How epigenomes of various stem cells change during differentiation; and how the characteristic tissue-specific epigenomes change during reprogramming | ||
# How chromatin modification (DNA methylation and histone modification) are established and maintained; in particular identification of genomic features that allow prediction of epigenetically labile genes | |||
# Contribution of chromatin state to variability or "noise" in transcription | # Contribution of chromatin state to variability or "noise" in transcription | ||
# Computational analysis of epigenetics modification patterns | # Computational analysis of epigenetics modification patterns |
Revision as of 10:28, 25 August 2008
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Contact Info
Nizar Batada
Ontario Institute of Cancer Research
101 College St, Suite 800,
MaRS Center, South Tower,
Toronto, Ontario M5G 3A0
tel: 416-673-8594
fax: 416-977-1118
http://www.oicr.on.ca/research/batada.htm
Administrative Assistant:
Stacey Quinn
tel: 416-673-8519
stacey.quinn "at" oicr.on.ca
Education
- 2004, PhD, Stanford University(Biophysics)
- 2000, MS, Caltech (Control and Dynamical Systems)
- 1998, BS, Carleton University (Biochemistry)
Research interests
- Understand how chromatin states relate to gene expression
- How epigenomes of various stem cells change during differentiation; and how the characteristic tissue-specific epigenomes change during reprogramming
- How chromatin modification (DNA methylation and histone modification) are established and maintained; in particular identification of genomic features that allow prediction of epigenetically labile genes
- Contribution of chromatin state to variability or "noise" in transcription
- Computational analysis of epigenetics modification patterns
- Genome organization and evolution