Author

C. Morrow

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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Animal Behavior & Cognition· 1 Evolutionary Biology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:proteomics· 1

Frequent Co-Authors

A. A. Robie· 1 shared A. Kamholz· 1 shared A. S. Koch· 1 shared B. Smith· 1 shared C. Bertozzi· 1 shared C. Call· 1 shared C. Diaz· 1 shared C. McLoud· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

A. A. Robie

Author profile →

3 papers

Recent·Most cited

Whole-body simulation of realistic fruit fly locomotion with deep reinforcement learning

R. Vaxenburg, I. Siwanowicz, J. Merel, A. A. Robie, C. Morrow, G. Novati, Z. Stefanidi, G.-J. Both, G. M. Card, M. B. Reiser, M. M. Botvinick, K. M. Branson, Y. Tassa, S. C. Turaga

This paper develops a detailed biomechanical model of fruit flies for simulating locomotion using reinforcement learning.

bioRxiv · Mar 11, 2024 · PreprintAnimal Behavior & Cognition

Phylomitogenomics bolsters the high-level classification of Demospongiae (phylum Porifera)

D. V. Lavrov, C. Diaz, M. Maldonado, C. Morrow, T. Perez, S. A. Pomponi, R. W. Thucker

This study uses mitochondrial genome data to test and refine the classification of Demospongiae, supporting existing groupings and adding temporal resolution to phylogenetic relationships.

bioRxiv · Jun 4, 2023Evolutionary Biology

Capture and visualization of live Mycobacterium tuberculosis bacilli from tuberculosis bioaerosols

R. Dinkele, S. Gessner, A. S. Koch, C. Morrow, M. Gqada, M. Kamariza, C. Bertozzi, B. Smith, C. McLoud, A. Kamholz, W. Bryden, C. Call, V. Mizrahi, R. Wood, D. F. Warner

This study develops a device to capture and detect live Mycobacterium tuberculosis in bioaerosols, showing high detection rates and suggesting aerosol sources differ from sputum.

PLOS Pathogens · Feb 1, 2021Peer-reviewedMicrobiology