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Single-cell genomic variation induced by mutational processes in cancer.
Funnell T, O'Flanagan CH, Williams MJ, McPherson A, McKinney S, Kabeer F, Lee H, Salehi S, Vázquez-García I, Shi H, Leventhal E, Masud T, Eirew P, Yap D, Zhang AW, Lim JLP, Wang B, Brimhall J, Biele J, Ting J, Au V, Van Vliet M, Liu YF, Beatty S, Lai D, Pham J, Grewal D, Abrams D, Havasov E, Leung S, Bojilova V, Moore RA, Rusk N, Uhlitz F, Ceglia N, Weiner AC, Zaikova E, Douglas JM, Zamarin D, Weigelt B, Kim SH, Da Cruz Paula A, Reis-Filho JS, Martin SD, Li Y, Xu H, de Algara TR, Lee SR, Llanos VC, Huntsman DG, McAlpine JN; IMAXT Consortium; Shah SP, Aparicio S. Funnell T, et al. Nature. 2022 Dec;612(7938):106-115. doi: 10.1038/s41586-022-05249-0. Epub 2022 Oct 26. Nature. 2022. PMID: 36289342 Free PMC article.
Clonal fitness inferred from time-series modelling of single-cell cancer genomes.
Salehi S, Kabeer F, Ceglia N, Andronescu M, Williams MJ, Campbell KR, Masud T, Wang B, Biele J, Brimhall J, Gee D, Lee H, Ting J, Zhang AW, Tran H, O'Flanagan C, Dorri F, Rusk N, de Algara TR, Lee SR, Cheng BYC, Eirew P, Kono T, Pham J, Grewal D, Lai D, Moore R, Mungall AJ, Marra MA; IMAXT Consortium; McPherson A, Bouchard-Côté A, Aparicio S, Shah SP. Salehi S, et al. Nature. 2021 Jul;595(7868):585-590. doi: 10.1038/s41586-021-03648-3. Epub 2021 Jun 23. Nature. 2021. PMID: 34163070 Free PMC article.
Imaging and Molecular Annotation of Xenographs and Tumours (IMAXT): High throughput data and analysis infrastructure.
González-Solares EA, Dariush A, González-Fernández C, Küpcü Yoldaş A, Molaeinezhad A, Al Sa'd M, Smith L, Whitmarsh T, Millar N, Chornay N, Falciatori I, Fatemi A, Goodwin D, Kuett L, Mulvey CM, Páez Ribes M, Qosaj F, Roth A, Vázquez-García I, Watson SS, Windhager J, Aparicio S, Bodenmiller B, Boyden E, Caldas C, Harris O, Shah SP, Tavaré S; CRUK IMAXT Grand Challenge Team; Bressan D, Hannon GJ, Walton NA. González-Solares EA, et al. Among authors: walton na. Biol Imaging. 2023 Apr 14;3:e11. doi: 10.1017/S2633903X23000090. eCollection 2023. Biol Imaging. 2023. PMID: 38487685 Free PMC article.
Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer.
Ali HR, Dariush A, Provenzano E, Bardwell H, Abraham JE, Iddawela M, Vallier AL, Hiller L, Dunn JA, Bowden SJ, Hickish T, McAdam K, Houston S, Irwin MJ, Pharoah PD, Brenton JD, Walton NA, Earl HM, Caldas C. Ali HR, et al. Among authors: walton na. Breast Cancer Res. 2016 Feb 16;18(1):21. doi: 10.1186/s13058-016-0682-8. Breast Cancer Res. 2016. PMID: 26882907 Free PMC article. Clinical Trial.