Clumpak: a program for identifying clustering modes and packaging population structure inferences across K NM Kopelman, J Mayzel, M Jakobsson, NA Rosenberg, I Mayrose Molecular ecology resources 15 (5), 1179-1191, 2015 | 3192 | 2015 |
ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules H Ashkenazy, S Abadi, E Martz, O Chay, I Mayrose, T Pupko, N Ben-Tal Nucleic acids research 44 (W1), W344-W350, 2016 | 2827 | 2016 |
ConSurf 2005: the projection of evolutionary conservation scores of residues on protein structures M Landau, I Mayrose, Y Rosenberg, F Glaser, E Martz, T Pupko, ... Nucleic acids research 33 (suppl_2), W299-W302, 2005 | 1571 | 2005 |
The frequency of polyploid speciation in vascular plants TE Wood, N Takebayashi, MS Barker, I Mayrose, PB Greenspoon, ... Proceedings of the national Academy of sciences 106 (33), 13875-13879, 2009 | 1491 | 2009 |
TRY plant trait database–enhanced coverage and open access J Kattge, G Bönisch, S Díaz, S Lavorel, IC Prentice, P Leadley, ... Global change biology 26 (1), 119-188, 2020 | 1464 | 2020 |
Sex determination: why so many ways of doing it? D Bachtrog, JE Mank, CL Peichel, M Kirkpatrick, SP Otto, TL Ashman, ... PLoS biology 12 (7), e1001899, 2014 | 1206 | 2014 |
The Chromosome Counts Database (CCDB)–a community resource of plant chromosome numbers A Rice, L Glick, S Abadi, M Einhorn, NM Kopelman, A Salman-Minkov, ... New Phytologist 206 (1), 19-26, 2015 | 750 | 2015 |
Rate4Site: an algorithmic tool for the identification of functional regions in proteins by surface mapping of evolutionary determinants within their homologues T Pupko, RE Bell, I Mayrose, F Glaser, N Ben-Tal Bioinformatics 18 (suppl_1), S71-S77, 2002 | 677 | 2002 |
ConSurf: using evolutionary data to raise testable hypotheses about protein function G Celniker, G Nimrod, H Ashkenazy, F Glaser, E Martz, I Mayrose, ... Israel Journal of Chemistry 53 (3‐4), 199-206, 2013 | 612 | 2013 |
Recently formed polyploid plants diversify at lower rates I Mayrose, SH Zhan, CJ Rothfels, K Magnuson-Ford, MS Barker, ... Science 333 (6047), 1257-1257, 2011 | 527 | 2011 |
Comparison of site-specific rate-inference methods for protein sequences: empirical Bayesian methods are superior I Mayrose, D Graur, N Ben-Tal, T Pupko Molecular biology and evolution 21 (9), 1781-1791, 2004 | 500 | 2004 |
Model selection may not be a mandatory step for phylogeny reconstruction S Abadi, D Azouri, T Pupko, I Mayrose Nature communications 10 (1), 934, 2019 | 325 | 2019 |
Computational characterization of B-cell epitopes ND Rubinstein, I Mayrose, D Halperin, D Yekutieli, JM Gershoni, T Pupko Molecular immunology 45 (12), 3477-3489, 2008 | 277 | 2008 |
Tree of sex: a database of sexual systems Tree of Sex Consortium Scientific Data 1, 2014 | 271 | 2014 |
The global biogeography of polyploid plants A Rice, P Šmarda, M Novosolov, M Drori, L Glick, N Sabath, S Meiri, ... Nature Ecology & Evolution 3 (2), 265-273, 2019 | 270 | 2019 |
Epitopia: a web-server for predicting B-cell epitopes ND Rubinstein, I Mayrose, E Martz, T Pupko BMC bioinformatics 10, 1-6, 2009 | 255 | 2009 |
Probabilistic models of chromosome number evolution and the inference of polyploidy I Mayrose, MS Barker, SP Otto Systematic biology 59 (2), 132-144, 2010 | 254 | 2010 |
Whole-genome duplication as a key factor in crop domestication A Salman-Minkov, N Sabath, I Mayrose Nature plants 2 (8), 1-4, 2016 | 249 | 2016 |
Body sizes and diversification rates of lizards, snakes, amphisbaenians and the tuatara A Feldman, N Sabath, RA Pyron, I Mayrose, S Meiri Global Ecology and Biogeography 25 (2), 187-197, 2016 | 205 | 2016 |
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action S Abadi, WX Yan, D Amar, I Mayrose PLoS computational biology 13 (10), e1005807, 2017 | 203 | 2017 |