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 | 2869 | 2016 |
ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids H Ashkenazy, E Erez, E Martz, T Pupko, N Ben-Tal Nucleic acids research 38 (suppl_2), W529-W533, 2010 | 2039 | 2010 |
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 | 1578 | 2005 |
ConSurf: identification of functional regions in proteins by surface-mapping of phylogenetic information F Glaser, T Pupko, I Paz, RE Bell, D Bechor-Shental, E Martz, N Ben-Tal Bioinformatics 19 (1), 163-164, 2003 | 1403 | 2003 |
GUIDANCE2: accurate detection of unreliable alignment regions accounting for the uncertainty of multiple parameters I Sela, H Ashkenazy, K Katoh, T Pupko Nucleic acids research 43 (W1), W7-W14, 2015 | 796 | 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 | 681 | 2002 |
GUIDANCE: a web server for assessing alignment confidence scores O Penn, E Privman, H Ashkenazy, G Landan, D Graur, T Pupko Nucleic acids research 38 (suppl_2), W23-W28, 2010 | 666 | 2010 |
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 | 619 | 2013 |
ConSeq: the identification of functionally and structurally important residues in protein sequences C Berezin, F Glaser, J Rosenberg, I Paz, T Pupko, P Fariselli, R Casadio, ... Bioinformatics 20 (8), 1322-1324, 2004 | 546 | 2004 |
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 | 504 | 2004 |
A fast algorithm for joint reconstruction of ancestral amino acid sequences T Pupko, I Pe, R Shamir, D Graur Molecular biology and evolution 17 (6), 890-896, 2000 | 397 | 2000 |
An alignment confidence score capturing robustness to guide tree uncertainty O Penn, E Privman, G Landan, D Graur, T Pupko Molecular biology and evolution 27 (8), 1759-1767, 2010 | 383 | 2010 |
Comparative analysis identifies exonic splicing regulatory sequences—the complex definition of enhancers and silencers A Goren, O Ram, M Amit, H Keren, G Lev-Maor, I Vig, T Pupko, G Ast Molecular cell 22 (6), 769-781, 2006 | 374 | 2006 |
Selecton 2007: advanced models for detecting positive and purifying selection using a Bayesian inference approach A Stern, A Doron-Faigenboim, E Erez, E Martz, E Bacharach, T Pupko Nucleic acids research 35 (suppl_2), W506-W511, 2007 | 364 | 2007 |
FastML: a web server for probabilistic reconstruction of ancestral sequences H Ashkenazy, O Penn, A Doron-Faigenboim, O Cohen, G Cannarozzi, ... Nucleic acids research 40 (W1), W580-W584, 2012 | 362 | 2012 |
Differential GC content between exons and introns establishes distinct strategies of splice-site recognition M Amit, M Donyo, D Hollander, A Goren, E Kim, S Gelfman, G Lev-Maor, ... Cell reports 1 (5), 543-556, 2012 | 333 | 2012 |
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 | 331 | 2019 |
Rodent phylogeny revised: analysis of six nuclear genes from all major rodent clades S Blanga-Kanfi, H Miranda, O Penn, T Pupko, RW DeBry, D Huchon BMC evolutionary biology 9, 1-12, 2009 | 319 | 2009 |
Genome-Scale Identification of Legionella pneumophila Effectors Using a Machine Learning Approach D Burstein, T Zusman, E Degtyar, R Viner, G Segal, T Pupko PLoS pathogens 5 (7), e1000508, 2009 | 307 | 2009 |
Genomic analysis of 38 Legionella species identifies large and diverse effector repertoires D Burstein, F Amaro, T Zusman, Z Lifshitz, O Cohen, JA Gilbert, T Pupko, ... Nature genetics 48 (2), 167-175, 2016 | 290 | 2016 |