Author

J. Biele

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· 3

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

A. McPherson· 3 shared B. Wang· 3 shared D. Lai· 3 shared F. Kabeer· 3 shared H. Lee· 3 shared J. Brimhall· 3 shared J. Pham· 3 shared J. Ting· 3 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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3 shared papersCancer Biology

A. McPherson

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3 papers

Recent·Most cited

Evolutionary tracking of cancer haplotypes at single-cell resolution

M. J. Williams, T. Funnell, C. O'Flanagan, A. McPherson, S. Salehi, I. Vazquez-Garcia, F. Kabeer, H. Lee, T. Masud, P. Eirew, D. Yap, B. Wang, J. Brimhall, J. Biele, J. Ting, , S. P. Shah

The paper tracks cancer haplotypes at single-cell resolution, revealing allele-specific alterations and their role in structural variation evolution in human tumors.

bioRxiv · Jun 4, 2021 · PreprintCancer Biology

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