Author

U. Obolski

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 2 Cell Biology· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:host-pathogen & immune response· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:ecology & biodiversity· 1

Frequent Co-Authors

L. Hadany· 2 shared A. Boonman· 1 shared A. Goldshtein· 1 shared A. Gori· 1 shared A. Kabat· 1 shared A. Zaritsky· 1 shared C. R. Reis· 1 shared D. Chamovitz· 1 shared

Activity by Year

2016-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersEcology

L. Hadany

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Within-host competition modulates pneumococcal antibiotic resistance in the pre-vaccination era

J. Lourenco, Y. Daon, A. Gori, U. Obolski

This study uses a stochastic model to show that within-host competition explains variation in pneumococcal antibiotic resistance frequencies in the pre-vaccination era.

bioRxiv · Sep 24, 2020Ecology

Flowers respond to pollinator sound within minutes by increasing nectar sugar concentration.

M. Veits, I. Khait, U. Obolski, E. Zinger, A. Boonman, A. Goldshtein, K. Saban, U. Ben-Dor, P. Estlein, A. Kabat, D. Peretz, I. Ratzersdorfer, S. Krylov, D. Chamovitz, Y. Sapir, , L. Hadany

This study shows that Oenothera drummondii flowers increase nectar sugar concentration within 3 minutes in response to pollinator sounds, suggesting plants can detect and react to airborne sounds.

bioRxiv · Dec 28, 2018Ecology

Key Issues Review: Evolution on rugged adaptive landscapes

U. Obolski, Y. Ram, L. Hadany

This paper reviews theoretical and empirical studies on evolution on rugged adaptive landscapes and provides source code for simulations.

bioRxiv · Mar 3, 2017Evolutionary Biology

Decoupling global biases and local interactions between cell biological variables

A. Zaritsky, U. Obolski, Z. Gan, C. R. Reis, Z. Kadlecova, Y. Du, S. L. Schmid, G. Danuser

The paper introduces DeBias, a method to separate global biases from local interactions in cell biology data, showing global bias contains mechanistic insights.

bioRxiv · Feb 1, 2016Cell Biology