Oren Avram
Tel Aviv University
29 Papers
51 Citations
Oren Avram is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Biology & Computer science. The author has an hindex of 6, co-authored 16 publications.
Chat about Author
Papers
Combined analysis of variation in core, accessory and regulatory genome regions provides a super-resolution view into the evolution of bacterial populations
Alan McNally,Yaara Oren,Darren Kelly,Ben Pascoe,Steven Dunn,Tristan Sreecharan,Minna Vehkala,Niko Välimäki,Michael B. Prentice,Amgad Ashour,Oren Avram,Tal Pupko,Ulrich Dobrindt,Ivan Literak,Sebastian Guenther,Katharina Schaufler,Lothar H. Wieler,Lothar H. Wieler,Zong Zhiyong,Samuel K. Sheppard,James O. McInerney,James O. McInerney,Jukka Corander,Jukka Corander +23 more
TL;DR: This approach reveals the existence of multiple circulating subtypes of the major drug–resistant clade of the important pathogenic E. coli lineage ST131 and provides the first ever population level evidence of core genome substitutions in gene regulatory regions associated with the acquisition and maintenance of different accessory genome elements.
M1CR0B1AL1Z3R—a user-friendly web server for the analysis of large-scale microbial genomics data
TL;DR: The M1CR0B1AL1Z3R web server facilitates the mining and analysis of dozens of bacterial genomes using advanced techniques, with the click of a button.
107
ModelTeller: Model Selection for Optimal Phylogenetic Reconstruction Using Machine Learning.
TL;DR: It is demonstrated that ModelTeller leads to more accurate branch-length inference than current model selection criteria on datasets simulated under realistic processes, and results in a substantial decrease in running time compared to existing strategies.
COVID-19 pandemic-related lockdown: response time is more important than its strictness.
Gil Loewenthal,Shiran Abadi,Oren Avram,Keren Halabi,Noa Ecker,Natan Nagar,Itay Mayrose,Tal Pupko +7 more
TL;DR: A data‐driven model enabled the extraction of lockdown characteristics which were crossed with observed mortality rates to show that the time at which social distancing was initiated is highly correlated with the number of deaths and the immediate response has a prolonged effect on COVID‐19 death toll.
38
Harnessing Machine Learning To Unravel Protein Degradation in Escherichia coli.
Natan Nagar,Noa Ecker,Gil Loewenthal,Oren Avram,Daniella Ben-Meir,Dvora Biran,Eliora Z. Ron,Tal Pupko +7 more
- 02 Feb 2021
TL;DR: In this paper, the authors used a combined computational-experimental approach to explore protein degradation in E. coli and showed that fast-degrading proteins can be identified using a combination of various protein properties, including structural, physicochemical, and protein-protein interaction network descriptors.
24