Author

R. A. Moore

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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Cancer Biology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:clustering· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:whole-genome sequencing· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

A. McPherson· 2 shared A. W. Zhang· 2 shared B. Wang· 2 shared D. Grewal· 2 shared D. Lai· 2 shared F. Kabeer· 2 shared H. Lee· 2 shared J. Biele· 2 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

A. McPherson

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Author profile →

3 papers

Recent·Most cited

Microbial habitability of the early Mars lacustrine environment sustained by iron redox cycling

R. A. Moore, C. E. Carr

This study models microbial habitability of early Mars using Fe-redox cycling and water chemistry data from Gale crater, suggesting sustained microbial communities and implications for biosignature preservation.

bioRxiv · Sep 7, 2021 · PreprintMicrobiology

The impact of mutational processes on structural genomic plasticity in cancer cells

T. Funnell, C. H. O'Flanagan, M. J. Williams, A. McPherson, S. McKinney, F. Kabeer, H. Lee, T. Masud, P. Eirew, D. Yap, A. W. Zhang, J. L. P. Lim, B. Wang, J. Brimhall, J. Biele, , S. Aparicio

The paper analyzes structural genomic variations in cancer cells to understand how mutational processes influence cell-to-cell genomic diversity and tumor evolution.

bioRxiv · Jun 3, 2021 · PreprintCancer Biology

Single cell fitness landscapes induced by genetic and pharmacologic perturbations in cancer

S. Salehi, F. Kabeer, N. Ceglia, M. Andronescu, M. Williams, K. R. Campbell, T. Masud, B. Wang, J. Biele, J. Brimhall, J. Ting, A. W. Zhang, C. H. OFlanagan, F. Dorri, N. Rusk, , S. P. Shah

This study develops a quantitative fitness model to analyze clonal dynamics in cancer under genetic and pharmacologic perturbations, revealing how mutations and drug resistance shape tumor evolution.

bioRxiv · May 8, 2020Cancer Biology