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Elife|January 12, 2021
Globally defining the effects of mutations in a picornavirus capsidFlorian Mattenberger, Victor Latorre, Omer Tirosh, et al.
NAR Genomics and Bioinformatics|April 11, 2022
Machine-learning of complex evolutionary signals improves classification of SNVsSapir Labes, Doron Stupp, Naama Wagner, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 17, 2014
Revealing bacterial targets of growth inhibitors encoded by bacteriophage T7Shahar Molshanski-Mor, Ido Yosef, Ruth Kiro, et al.
Mbio|March 19, 2015
Novel type III effectors in Pseudomonas aeruginosaDavid Burstein, Shirley Satanower, Michal Simovitch, et al.
Molecular Biology and Evolution|October 25, 2022
An Approximate Bayesian Computation Approach for Modeling Genome RearrangementsAsher Moshe, Elya Wygoda, Noa Ecker, et al.
Virus Evolution|June 14, 2019
Inferring population genetics parameters of evolving viruses using time-series dataTal Zinger, Maoz Gelbart, Danielle Miller, et al.
Nucleic Acids Research|April 29, 2011
Native homing endonucleases can target conserved genes in humans and in animal modelsAdi Barzel, Eyal Privman, Michael Peeri, et al.
Eukaryotic Cell|December 6, 2011
A machine learning approach to identify hydrogenosomal proteins in Trichomonas vaginalisDavid Burstein, Sven B Gould, Verena Zimorski, et al.
Protein Science : a Publication of the Protein Society|January 31, 2023
Using evolutionary data to make sense of macromolecules with a "face-lifted" ConSurfBarak Yariv, Elon Yariv, Amit Kessel, et al.
Frontiers in Microbiology|April 20, 2016
Insights from the Genome Sequence of Acidovorax citrulli M6, a Group I Strain of the Causal Agent of Bacterial Fruit Blotch of CucurbitsNoam Eckshtain-Levi, Dafna Shkedy, Michael Gershovits, et al.
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