Author

M. A. Nowak

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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Evolutionary Biology· 6 Cancer Biology· 2 Immunology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 8 Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

C. Veller· 4 shared J. Olejarz· 2 shared P. Muralidhar· 2 shared A. Hayashi· 1 shared A. Heyde· 1 shared A. P. Makohon-Moore· 1 shared A. Penson· 1 shared B. S. Taylor· 1 shared

Activity by Year

2016-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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4 shared papersEvolutionary Biology

C. Veller

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Author profile →

9 papers

Recent·Most cited

The effect of environmental information on evolution of cooperation in stochastic games

M. Kleshnina, C. Hilbe, S. Simsa, K. Chatterjee, M. A. Nowak

The paper examines how environmental information availability affects cooperation evolution in stochastic games, finding that cooperation can be promoted or hindered depending on information access.

bioRxiv · Oct 18, 2022Evolutionary Biology

Evolutionary safety of death by mutagenesis

G. A. Lobinska, Y. T. Pilpel, M. A. Nowak

The paper assesses the evolutionary safety of antiviral drugs that induce mutagenesis, finding that Molnupiravir is narrowly safe under current parameters and suggests strategies to improve safety.

bioRxiv · Mar 10, 2022 · PreprintEvolutionary Biology

Recombination and selection against introgressed DNA

C. Veller, N. B. Edelman, P. Muralidhar, M. A. Nowak

This paper uses mathematical modeling and simulations to show that recombination rate influences the purging of introgressed DNA, with implications for genomic signals of historical introgression.

bioRxiv · Sep 4, 2021Evolutionary Biology

Evolutionary Origins of Recurrent Pancreatic Cancer

H. Sakamoto, M. Attiyeh, J. Gerold, A. P. Makohon-Moore, A. Hayashi, J. Hong, R. Kappagantula, L. Zhang, J. Melchor, J. Reiter, A. Heyde, C. Bielski, A. Penson, D. Chakravarty, E. O'Reilly, , C. A. Iacobuzio-Donahue

This study identifies genetic features of recurrent pancreatic cancer through sequencing and finds that treatment-induced genetic changes and potential second primary tumors influence recurrence.

bioRxiv · Oct 31, 2019Cancer Biology

Novel cytokine interactions identified during perturbed hematopoiesis

M. S. Krieger, J. M. Moreau, H. Zhang, M. Chien, J. L. Zehnder, M. A. Nowak, M. Craig

The paper identifies 61 previously unreported cytokine relationships using convergent cross-mapping in a patient with cyclic thrombocytopenia.

bioRxiv · Dec 22, 2018 · PreprintImmunology

Selection for synchronized cell division in simple multicellular organisms

J. Olejarz, K. Kaveh, C. Veller, M. A. Nowak

The paper models competition between multicellular organisms using synchronous and asynchronous cell division to show natural selection favors one over the other.

bioRxiv · Mar 16, 2018Evolutionary Biology

Drift-Induced Selection Between Male And Female Heterogamety

C. Veller, P. Muralidhar, G. W. A. Constable, M. A. Nowak

The paper shows that drift-induced selection, not neutrality, drives evolutionary transitions between male and female heterogamety by favoring dominant sex-determining chromosomes.

bioRxiv · May 24, 2017Evolutionary Biology

The evolution of queen control over worker reproduction in the social Hymenoptera

J. Olejarz, C. Veller, M. A. Nowak

This study develops a mathematical model to analyze the evolutionary dynamics of queen control over worker reproduction in eusocial Hymenoptera, identifying conditions for the emergence and stability of queen-induced worker sterility.

bioRxiv · Feb 22, 2017Evolutionary Biology

An exactly solvable, spatial model of mutation accumulation in cancer

C. Paterson, M. A. Nowak, B. Waclaw

This paper presents an exactly solvable mathematical model of tumour growth and mutation accumulation, showing exponential mutation increase under constant fitness gains and a plateau under decreasing gains.

bioRxiv · Oct 27, 2016Cancer Biology