Publications

updated: 02.06.2021

 

List of Publications

 

11. K. Halabi, I. Mayrose (2021) Mechanisms Underlying Host Range Variation in Flavivirus: From Empirical Knowledge to Predictive Models. J Mol Evol (2021). https://doi.org/10.1007/s00239-021-10013-5.

 

10. H. Levi, R. Elkon, R. Shamir (2021) "DOMINO - a novel network-based active module identification algorithm with reduced rate of false calls". Molecular Systems Biology 17:e9593 (2021).

 

9.  M. Levy, A. Frishberg, I. Gat-Viks (2020) Inferring cellular heterogeneity of associations from single cell genomics. Bioinformatics, Volume 36, Issue 11, June 2020, Pages 3466–3473, https://doi.org/10.1093/bioinformatics/btaa151.

 

8.  D. Levin,  and  T. Tuller (2020) Whole cell biophysical modeling of codon-tRNA competition reveals novel insights related to translation dynamics. PLoS Compt. Biol., https://doi.org/10.1371/journal.pcbi.1008038.

 

7. D.D. Erdmann-Pham, K. Dao Duc, and Y.S. Song (2020) The key parameters that govern translation efficiency. Cell Systems, Vol. 10, Issue 2, (2020) 183-192.e6.

 

6. T. S. Hsieh, C. Cattoglio, E. Slobodyanyuk, A. S. Hansen, O. J. Rando, R. Tjian, X. Darzacq (2020) Resolving the 3D Landscape of Transcription-Linked Mammalian Chromatin Folding. Mol Cell. 2020 May 7;78(3):539-553.e8. 

 

5. H. Wang, L. Pipes, R. Nielsen (2020) Synonymous mutations and the molecular evolution of SARS-CoV-2 origins. Virus Evolution, veaa098, https://doi.org/10.1093/ve/veaa098. 

 

4. L. Pipes, H. Wang, J. P. Huelsenbeck, R. Nielsen (2020) Assessing Uncertainty in the Rooting of the SARS-CoV-2 Phylogeny. Molecular Biology and Evolution, msaa316, https://doi.org/10.1093/molbev/msaa316.

 

3. M. Chintalapati  and P. Moorjani (2020) Evolution of the mutation rate across primates. Current Opinion in Genetics & Development, 62, 58-64.

 

2. T. Kustin and A. Stern (2020) Biased mutation and selection in RNA virusesMolecular Biology and Evolution, msaa247, https://doi.org/10.1093/molbev/msaa247.

 

1. G. Ling, D. Miller, R. Nielsen, A. Stern (2019) A Bayesian framework for inferring the influence of sequence context on point mutations. Molecular Biology and Evolution, msz248, https://doi.org/10.1093/molbev/msz248.

 

 

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