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Nature Communications|February 27, 2019
Model selection may not be a mandatory step for phylogeny reconstructionShiran Abadi, Dana Azouri, Tal Pupko, et al.
The New Phytologist|February 9, 2023
A non-homogeneous model of chromosome-number evolution to reveal shifts in the transition patterns across the phylogenyAnat Shafir, Keren Halabi, Marcial Escudero, et al.
Plos Computational Biology|October 17, 2017
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of actionShiran Abadi, Winston X Yan, David Amar, et al.
BMC Bioinformatics|September 16, 2009
Epitopia: a web-server for predicting B-cell epitopesNimrod D Rubinstein, Itay Mayrose, Eric Martz, et al.
Evolution; International Journal of Organic Evolution|January 29, 2019
Meiotic drive shapes rates of karyotype evolution in mammalsHeath Blackmon, Joshua Justison, Itay Mayrose, et al.
Bioinformatics (Oxford, England)|July 25, 2007
Towards realistic codon models: among site variability and dependency of synonymous and non-synonymous ratesItay Mayrose, Adi Doron-Faigenboim, Eran Bacharach, et al.
Systematic Biology|February 9, 2017
An Integrated Model of Phenotypic Trait Changes and Site-Specific Sequence EvolutionEli Levy Karin, Susann Wicke, Tal Pupko, et al.
Evolution; International Journal of Organic Evolution|June 9, 2020
Heterogeneity in the rate of molecular sequence evolution substantially impacts the accuracy of detecting shifts in diversification ratesAnat Shafir, Dana Azouri, Emma E Goldberg, et al.
Molecular Biology and Evolution|June 18, 2004
Comparison of site-specific rate-inference methods for protein sequences: empirical Bayesian methods are superiorItay Mayrose, Dan Graur, Nir Ben-Tal, et al.
Systematic Biology|November 30, 2020
A Codon Model for Associating Phenotypic Traits with Altered Selective Patterns of Sequence EvolutionKeren Halabi, Eli Levy Karin, Laurent Guéguen, et al.
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