My research interests are in Computational Biology, and more specifically in developing quantitative models for all levels of gene regulation, including transcription, chromatin, and translation. Selected publications:
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From DNA sequence to transcriptional behaviour: a quantitative approach
E. Segal and J. Widom.
Nature Reviews Genetics, 2009.
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The DNA-Encoded Nucleosome Organization of a Eukaryotic Genome.
N. Kaplan, I.K. Moore, Y. Fondufe-Mittendorf, A.J. Gossett, D. Tillo, Y. Field, E.M. LeProust, T.R. Hughes, J.D. Lieb, J. Widom, E. Segal.
Nature, 2009.
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Predicting expression patterns from regulatory sequence in Drosophila segmentation.
E. Segal, T. Sadka, M. Schroeder, U. Unnerstall, U. Gaul.
Nature, 2008.
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The role of site accessibility in microRNA target recognition.
M. Kertesz, N. Iovino, U. Unnerstall, U. Gaul, E. Segal.
Nature Genetics, 2007.
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A Genomic Code for Nucleosome Positioning.
E. Segal, Y. Fondufe-Mittendorf, L. Chen, A. Thastrom, Y. Field, I.K. Moore, J.Z. Wang, J. Widom.
Nature, 2006. The New York Times, 2006.
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Module Networks: Identifying Regulatory Modules and their Condition Specific Regulators from Gene Expression Data.
E. Segal, M. Shapira, A. Regev, D. Pe'er, D. Botstein, D. Koller, N. Friedman.
Nature Genetics, 2003.
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