By Professor David Thomas

Preprints

Minoche AE; Lundie B; Peters GB; Ohnesorg T; Pinese M; Thomas DM; Zankl A; Roscioli T; Schonrock N; Kummerfeld S; Burnett L; Dinger ME; Cowley MJ, 2020, ClinSV: Clinical grade structural and copy number variant detection from whole genome sequencing data, http://dx.doi.org/10.1101/2020.06.30.20143453

Lin F; Thavaneswaran S; Grady J; Ballinger M; Kansara M; Oakes S; Desai J; Lee CK; Simes J; Thomas D, 2020, Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology, http://dx.doi.org/10.1101/2020.12.18.20248521

Shin SJ; Dodd E; Peng G; Bojadzieva J; Chen J; Amos C; Mai PL; Savage SA; Ballinger ML; Thomas DM; Yuan Y; Strong LC; Wang W, 2019, Risk of differential cancer types over age in families with Li-Fraumeni syndrome: a validation study using multi-center cohorts, http://dx.doi.org/10.1101/567727

Puttick C; Kumar K; Davis R; Pinese M; Thomas D; Dinger M; Sue C; Cowley M, 2019, mity: A highly sensitive mitochondrial variant analysis pipeline for whole genome sequencing data, http://dx.doi.org/10.1101/852210

Lacaze P; Pinese M; Kaplan W; Stone A; Brion M-J; Woods RL; McNamara M; McNeil JJ; Dinger ME; Thomas DM, 2018, The Medical Genome Reference Bank: a whole-genome data resource of 4,000 healthy elderly individuals. Rationale and cohort design, http://dx.doi.org/10.1101/274019

Chan EKF; Petersen DC; Lyons RJ; Baldi BF; Papenfuss AT; Thomas DM; Hayes VM, 2017, Whole genome optical mapping reveals multiple fusion events chained by large novel sequences in cancer, http://dx.doi.org/10.1101/166173

Thomas DM; Wood MA, 2016, The Emergence of Negative Superhumps in Cataclysmic Variables: Smoothed Particle Hydrodynamics Simulations, http://dx.doi.org/10.48550/arxiv.1602.06314

Wood MA; Thomas DM; Simpson JC, 2009, SPH Simulations of Negative (Nodal) Superhumps: A Parametric Study, http://dx.doi.org/10.48550/arxiv.0906.2713

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