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Nature Communications
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February 27, 2019
Model selection may not be a mandatory step for phylogeny reconstruction
Shiran Abadi, Dana Azouri, Tal Pupko, et al.
Nucleic Acids Research
|
April 8, 2020
Prediction of synonymous corrections by the BE-FF computational tool expands the targeting scope of base editing
Roy Rabinowitz, Shiran Abadi, Shiri Almog, et al.
Plos Computational Biology
|
October 17, 2017
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action
Shiran Abadi, Winston X Yan, David Amar, et al.
Molecular Biology and Evolution
|
June 26, 2020
ModelTeller: Model Selection for Optimal Phylogenetic Reconstruction Using Machine Learning
Shiran Abadi, Oren Avram, Saharon Rosset, et al.
Nature Communications
|
April 1, 2021
Harnessing machine learning to guide phylogenetic-tree search algorithms
Dana Azouri, Shiran Abadi, Yishay Mansour, et al.
Journal of Molecular Biology
|
April 7, 2018
CRISPys: Optimal sgRNA Design for Editing Multiple Members of a Gene Family Using the CRISPR System
Gal Hyams, Shiran Abadi, Shlomtzion Lahav, et al.
Nucleic Acids Research
|
May 12, 2016
ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules
Haim Ashkenazy, Shiran Abadi, Eric Martz, et al.
EMBO Molecular Medicine
|
October 19, 2020
COVID-19 pandemic-related lockdown: response time is more important than its strictness
Gil Loewenthal, Shiran Abadi, Oren Avram, et al.
The New Phytologist
|
November 27, 2014
The Chromosome Counts Database (CCDB) - a community resource of plant chromosome numbers
Anna Rice, Lior Glick, Shiran Abadi, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
January 8, 2024
Null mutants of a tomato Rho of plants exhibit enhanced water use efficiency without a penalty to yield
Mallikarjuna R Puli, Purity Muchoki, Adi Yaaran, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Nature Communications
|
February 27, 2019
Model selection may not be a mandatory step for phylogeny reconstruction
Shiran Abadi, Dana Azouri, Tal Pupko, et al.
Nucleic Acids Research
|
April 8, 2020
Prediction of synonymous corrections by the BE-FF computational tool expands the targeting scope of base editing
Roy Rabinowitz, Shiran Abadi, Shiri Almog, et al.
Plos Computational Biology
|
October 17, 2017
A machine learning approach for predicting CRISPR-Cas9 cleavage efficiencies and patterns underlying its mechanism of action
Shiran Abadi, Winston X Yan, David Amar, et al.
Molecular Biology and Evolution
|
June 26, 2020
ModelTeller: Model Selection for Optimal Phylogenetic Reconstruction Using Machine Learning
Shiran Abadi, Oren Avram, Saharon Rosset, et al.
Nature Communications
|
April 1, 2021
Harnessing machine learning to guide phylogenetic-tree search algorithms
Dana Azouri, Shiran Abadi, Yishay Mansour, et al.
Journal of Molecular Biology
|
April 7, 2018
CRISPys: Optimal sgRNA Design for Editing Multiple Members of a Gene Family Using the CRISPR System
Gal Hyams, Shiran Abadi, Shlomtzion Lahav, et al.
Nucleic Acids Research
|
May 12, 2016
ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules
Haim Ashkenazy, Shiran Abadi, Eric Martz, et al.
EMBO Molecular Medicine
|
October 19, 2020
COVID-19 pandemic-related lockdown: response time is more important than its strictness
Gil Loewenthal, Shiran Abadi, Oren Avram, et al.
The New Phytologist
|
November 27, 2014
The Chromosome Counts Database (CCDB) - a community resource of plant chromosome numbers
Anna Rice, Lior Glick, Shiran Abadi, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
January 8, 2024
Null mutants of a tomato Rho of plants exhibit enhanced water use efficiency without a penalty to yield
Mallikarjuna R Puli, Purity Muchoki, Adi Yaaran, et al.
Page
of 1