|
Publications
Burstein, D.*, Gould, S.B.*, Zimorski, V., Klosges, T., Kiosse, F., Major,
P., Martin, W., Pupko, T., Dagan, T. 2011. A machine-learning approach to
identify hydrogenosomal proteins in Trichomonas vaginalis. Eukaryotic
Cell. accepted.
Gelfman, S., Burstein, D., Penn, O., Schwartz, S., Pupko, T., and Ast, G.
2011. Changes in exon-intron structure during vertebrate evolution affect the
splicing pattern of exons. Genome Research. accepted.
Barzel, A., Privman, E., Peeri, M., Naor, A., Shachar, E., Burstein, D.,
Lazary, R., Gophna, U., Pupko, T., and Kupiec, M. 2011. Native homing
endonucleases can target conserved genes in humans and in animal models.
Nucleic Acids Research. 39(15):6646-6659.
[pdf
\
abs]
Burstein, D., Zusman, T., Degtyar, E., Viner, R., Segal, G., and Pupko, T.
2009. Genome-scale identification of Legionella pneumophila effectors using a
machine learning approach. PLoS Pathog 5(7): e1000508.
[pdf
\
abs]
Schwartz, S., Silva, J., Burstein, D., Pupko, T., Eyras, E., and Ast, G.
2008. Large scale comparative analysis of splicing signals and their
corresponding splicing factors in eukaryotes. Genome Res. 18(1):88-103.
[pdf
\
abs]
Ulitsky, I., Burstein, D., Tuller, T., and Chor, B. 2006.
The ACS approach to phylogenomic reconstruction.
J. Comput. Biol.
13(2):336-50.
[pdf]
Burstein D., Ulitsky I., Tuller T. and Chor B. 2005.
Information theoretic approaches to whole genome phylogenomics.
Proceedings of the ninth annual international conference on
research in computational molecular biology (RECOMB 2005).
pp.283-295.
[abs]
* These authors contributed equally
|
