Eilon Sharon
Eilon Sharon
Department of Genetics, Stanford University, Stanford, CA 94305, USA.
Verified email at
Cited by
Cited by
Identification of hundreds of conserved and nonconserved human microRNAs
I Bentwich, A Avniel, Y Karov, R Aharonov, S Gilad, O Barad, A Barzilai, ...
Nature genetics 37 (7), 766-770, 2005
MicroRNA expression detected by oligonucleotide microarrays: system establishment and expression profiling in human tissues
O Barad, E Meiri, A Avniel, R Aharonov, A Barzilai, I Bentwich, U Einav, ...
Genome research 14 (12), 2486-2494, 2004
Distinct modes of regulation by chromatin encoded through nucleosome positioning signals
Y Field, N Kaplan, Y Fondufe-Mittendorf, IK Moore, E Sharon, Y Lubling, ...
PLoS computational biology 4 (11), e1000216, 2008
Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters
E Sharon, Y Kalma, A Sharp, T Raveh-Sadka, M Levo, D Zeevi, L Keren, ...
Nature Biotechnology, 2012
Deciphering the rules by which 5′-UTR sequences affect protein expression in yeast
S Dvir, L Velten, E Sharon, D Zeevi, LB Carey, A Weinberger, E Segal
Proceedings of the National Academy of Sciences 110 (30), E2792-E2801, 2013
Manipulating nucleosome disfavoring sequences allows fine-tune regulation of gene expression in yeast
T Raveh-Sadka, M Levo, U Shabi, B Shany, L Keren, M Lotan-Pompan, ...
Nature genetics 44 (7), 743-750, 2012
Functional genetic variants revealed by massively parallel precise genome editing
E Sharon, SAA Chen, NM Khosla, JD Smith, JK Pritchard, HB Fraser
Cell 175 (2), 544-557. e16, 2018
Unraveling determinants of transcription factor binding outside the core binding site
M Levo, E Zalckvar, E Sharon, ACD Machado, Y Kalma, ...
Genome research 25 (7), 1018-1029, 2015
Genetic variation in MHC proteins is associated with T cell receptor expression biases
E Sharon, LV Sibener, A Battle, HB Fraser, KC Garcia, JK Pritchard
Nature genetics 48 (9), 995-1002, 2016
Probing the effect of promoters on noise in gene expression using thousands of designed sequences
E Sharon, D van Dijk, Y Kalma, L Keren, O Manor, Z Yakhini, E Segal
Genome research 24 (10), 1698-1706, 2014
A feature-based approach to modeling protein–DNA interactions
E Sharon, S Lubliner, E Segal
PLoS computational biology 4 (8), e1000154, 2008
Systematic interrogation of human promoters
S Weingarten-Gabbay, R Nir, S Lubliner, E Sharon, Y Kalma, ...
Genome research 29 (2), 171-183, 2019
Alu Gene: a database of Alu elements incorporated within protein‐coding genes
T Dagan, R Sorek, E Sharon, G Ast, D Graur
Nucleic acids research 32 (suppl_1), D489-D492, 2004
Quantification of transplant-derived circulating cell-free DNA in absence of a donor genotype
E Sharon, H Shi, S Kharbanda, W Koh, LR Martin, KK Khush, H Valantine, ...
PLoS computational biology 13 (8), e1005629, 2017
Systematic dissection of the sequence determinants of gene 3’end mediated expression control
O Shalem, E Sharon, S Lubliner, I Regev, M Lotan-Pompan, Z Yakhini, ...
PLoS genetics 11 (4), e1005147, 2015
Compensation for differences in gene copy number among yeast ribosomal proteins is encoded within their promoters
D Zeevi, E Sharon, M Lotan-Pompan, Y Lubling, Z Shipony, ...
Genome Research 21 (12), 2114-2128, 2011
A handbook of transcription factors
TR Hughes
Springer Science & Business Media, 2011
Large-scale mapping of gene regulatory logic reveals context-dependent repression by transcriptional activators
D van Dijk, E Sharon, M Lotan-Pompan, A Weinberger, E Segal, LB Carey
Genome research 27 (1), 87-94, 2017
Measurements of the impact of 3′ end sequences on gene expression reveal wide range and sequence dependent effects
O Shalem, L Carey, D Zeevi, E Sharon, L Keren, A Weinberger, O Dahan, ...
PLoS computational biology 9 (3), e1002934, 2013
Perspectives on ENCODE
F Abascal, R Acosta, NJ Addleman, J Adrian, V Afzal, B Aken, JA Akiyama
Nature 583 (7818), 693-699, 2020
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