Author

I. Vazquez-Garcia

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· 6

Signature Assays, Organisms & Methods

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Organism:human· 5 Approach:statistical model· 5 Assay:whole-genome sequencing· 5 Research Focus:clustering· 4 Research Focus:differential expression· 4 Research Focus:cancer & tumor microenvironment· 2 Research Focus:cell type annotation· 2 Research Focus:cell-cell communication· 2

Frequent Co-Authors

M. J. Williams· 3 shared N. Rusk· 3 shared S. Aparicio· 3 shared S. P. Shah· 3 shared A. C. Weiner· 2 shared A. McPherson· 2 shared C. Jolly· 2 shared D. G. Livitz· 2 shared

Activity by Year

2018-2023 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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3 shared papersCancer Biology

M. J. Williams

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Author profile →

6 papers

Recent·Most cited

Single-cell DNA replication dynamics in genomically unstable cancers

A. C. Weiner, M. J. Williams, H. Shi, I. Vazquez-Garcia, S. Salehi, N. Rusk, S. Aparicio, S. P. Shah, A. McPherson

The paper develops a method to infer DNA replication states from single-cell sequencing and analyzes replication dynamics in aneuploid cancers, finding correlations between replication timing and copy number changes.

bioRxiv · Apr 10, 2023Cancer Biology

Immune and malignant cell phenotypes of ovarian cancer are determined by distinct mutational processes

I. Vazquez-Garcia, F. Uhlitz, N. Ceglia, J. L. P. Lim, M. Wu, N. Mohibullah, A. E. B. Ruiz, K. M. Boehm, V. Bojilova, C. J. Fong, T. Funnell, D. Grewal, E. Havasov, S. Leung, A. Pasha, , Nikolovsk

This study identifies distinct immune and malignant cell phenotypes in ovarian cancer linked to specific mutational processes and anatomic sites.

bioRxiv · Aug 24, 2021Cancer Biology

The Imaging and Molecular Annotation of Xenografts and Tumours (IMAXT) High Throughput Data and Analysis Infrastructure

E. A. Gonzalez-Solares, A. Dariush, C. Gonzalez-Fernandez, A. Küpcü Yoldas, M. Al Sa'd, N. Millar, T. Whitmarsh, N. Chornay, I. Falciatori, A. Fatemi, D. Goodwin, L. Kuett, C. M. Mulvey, M. Paez Ribes, F. Qosaj, , N. A. Walton

The paper presents an infrastructure for high-throughput data and analysis of tumour and xenograft samples using multimodal imaging and molecular annotation.

bioRxiv · Jun 22, 2021Cancer Biology

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

Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

S. C. Dentro, I. Leshchiner, K. Haase, M. Tarabichi, J. Wintersinger, A. G. Deshwar, K. Yu, Y. Rubanova, G. Macintyre, J. Demeulemeester, I. Vazquez-Garcia, K. Kleinheinz, D. G. Livitz, S. Malikic, N. Donmez, , Q. D. Morris

This study characterizes intra-tumor heterogeneity across 2,658 human cancer genomes, identifying subclonal mutations and evolutionary patterns across 38 cancer types.

Cell · Apr 1, 2021Peer-reviewedCancer Biology

The evolutionary history of 2,658 cancers

M. Gerstung, C. Jolly, I. Leshchiner, S. C. Dentro, S. Gonzalez Rosado, D. Rosebrock, T. J. Mitchell, Y. Rubanova, P. Anur, K. Yu, M. Tarabichi, A. Deshwar, J. Wintersinger, K. Kleinheinz, I. Vazquez-Garcia, , Spellman

This study uses whole-genome sequencing of cancer samples to reconstruct the evolutionary history of 39 cancer types, identifying early and late-stage mutational patterns and driver genes.

bioRxiv · Sep 12, 2018Cancer Biology