Lubliner S[au] - Search Results

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Year	Number of Results
2008	1
2009	1
2013	1
2014	1
2015	2
2019	1
2022	0

Page 1

Systematic interrogation of human promoters.

Weingarten-Gabbay S, Nir R, Lubliner S, Sharon E, Kalma Y, Weinberger A, Segal E. Weingarten-Gabbay S, et al. Among authors: lubliner s. Genome Res. 2019 Feb;29(2):171-183. doi: 10.1101/gr.236075.118. Epub 2019 Jan 8. Genome Res. 2019. PMID: 30622120 Free PMC article.

Core promoter sequence in yeast is a major determinant of expression level.

Lubliner S, Regev I, Lotan-Pompan M, Edelheit S, Weinberger A, Segal E. Lubliner S, et al. Genome Res. 2015 Jul;25(7):1008-17. doi: 10.1101/gr.188193.114. Epub 2015 May 12. Genome Res. 2015. PMID: 25969468 Free PMC article.

Systematic dissection of the sequence determinants of gene 3' end mediated expression control.

Shalem O, Sharon E, Lubliner S, Regev I, Lotan-Pompan M, Yakhini Z, Segal E. Shalem O, et al. Among authors: lubliner s. PLoS Genet. 2015 Apr 15;11(4):e1005147. doi: 10.1371/journal.pgen.1005147. eCollection 2015 Apr. PLoS Genet. 2015. PMID: 25875337 Free PMC article.

Molecular dissection of the genetic mechanisms that underlie expression conservation in orthologous yeast ribosomal promoters.

Zeevi D, Lubliner S, Lotan-Pompan M, Hodis E, Vesterman R, Weinberger A, Segal E. Zeevi D, et al. Among authors: lubliner s. Genome Res. 2014 Dec;24(12):1991-9. doi: 10.1101/gr.179259.114. Epub 2014 Oct 7. Genome Res. 2014. PMID: 25294245 Free PMC article.

A feature-based approach to modeling protein-DNA interactions.

Sharon E, Lubliner S, Segal E. Sharon E, et al. Among authors: lubliner s. PLoS Comput Biol. 2008 Aug 22;4(8):e1000154. doi: 10.1371/journal.pcbi.1000154. PLoS Comput Biol. 2008. PMID: 18725950 Free PMC article.

Sequence features of yeast and human core promoters that are predictive of maximal promoter activity.

Lubliner S, Keren L, Segal E. Lubliner S, et al. Nucleic Acids Res. 2013 Jun;41(11):5569-81. doi: 10.1093/nar/gkt256. Epub 2013 Apr 17. Nucleic Acids Res. 2013. PMID: 23599004 Free PMC article.

Modeling interactions between adjacent nucleosomes improves genome-wide predictions of nucleosome occupancy.

Lubliner S, Segal E. Lubliner S, et al. Bioinformatics. 2009 Jun 15;25(12):i348-55. doi: 10.1093/bioinformatics/btp216. Bioinformatics. 2009. PMID: 19478009 Free PMC article.

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