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 | 2615 | 2016 |
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 | 701 | 2015 |
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 | 293 | 2019 |
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 | 183 | 2017 |
COVID‐19 pandemic‐related lockdown: response time is more important than its strictness G Loewenthal, S Abadi, O Avram, K Halabi, N Ecker, N Nagar, I Mayrose, ... EMBO molecular medicine 12 (11), e13171, 2020 | 50 | 2020 |
ModelTeller: Model Selection for Optimal Phylogenetic Reconstruction Using Machine Learning S Abadi, O Avram, S Rosset, T Pupko, I Mayrose Molecular Biology and Evolution 154, 2020 | 35 | 2020 |
Harnessing machine learning to guide phylogenetic-tree search algorithms D Azouri, S Abadi, Y Mansour, I Mayrose, T Pupko Nature communications 12 (1), 1983, 2021 | 31 | 2021 |
CRISPys: optimal sgRNA design for editing multiple members of a gene family using the CRISPR system G Hyams, S Abadi, S Lahav, A Avni, E Halperin, E Shani, I Mayrose Journal of molecular biology 430 (15), 2184-2195, 2018 | 24 | 2018 |
Prediction of synonymous corrections by the BE-FF computational tool expands the targeting scope of base editing R Rabinowitz, S Abadi, S Almog, D Offen Nucleic Acids Research 48 (W1), W340-W347, 2020 | 13 | 2020 |
Null mutants of a tomato Rho of plants exhibit enhanced water use efficiency without a penalty to yield MR Puli, P Muchoki, A Yaaran, N Gershon, A Dalal, F Nalufunjo, Y Dagan, ... Proceedings of the National Academy of Sciences 121 (4), e2309006120, 2024 | 1 | 2024 |
Harnessing machine learning to boost heuristic strategies for phylogenetic-tree search D Azouri, S Abadi, Y Mansour, I Mayrose, T Pupko | | 2020 |
COVID-19 pandemic-related lockdown: response time is more important than its strictness (preprint) G Loewenthal, S Abadi, O Avram, K Halabi, N Ecker, N Nagar, I Mayrose, ... | | 2020 |
5.3. A3: 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, ... Learning Evolutionary and Genomic Processes from Massive Nucleotide Data 13 …, 2017 | | 2017 |
5.5. A5: NADPH oxidase-dependent enhanced stomata closure of Rho-null tomatoes confers increased water use efficiency M Puli, P Muchoki, N Gershon, A Dalal, S Abadi, N Sade, S Yalovsky Learning Evolutionary and Genomic Processes from Massive Nucleotide Data 13 …, 2017 | | 2017 |