Search Results - "Kaufmann, Tom L"

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  1. 1

    MEDICC2: whole-genome doubling aware copy-number phylogenies for cancer evolution by Kaufmann, Tom L, Petkovic, Marina, Watkins, Thomas B K, Colliver, Emma C, Laskina, Sofya, Thapa, Nisha, Minussi, Darlan C, Navin, Nicholas, Swanton, Charles, Van Loo, Peter, Haase, Kerstin, Tarabichi, Maxime, Schwarz, Roland F

    Published in Genome Biology (14-11-2022)
    “…Aneuploidy, chromosomal instability, somatic copy-number alterations, and whole-genome doubling (WGD) play key roles in cancer evolution and provide…”
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    Journal Article
  2. 2

    Electrostatic and bending energies predict staggering and splaying in nonmuscle myosin II minifilaments by Kaufmann, Tom L, Schwarz, Ulrich S, Alber, Mark, Vavylonis, Dimitrios

    Published in PLoS computational biology (06-07-2020)
    “…Recent experiments with super-resolution live cell microscopy revealed that nonmuscle myosin II minifilaments are much more dynamic than formerly appreciated,…”
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  3. 3

    Refphase: Multi-sample phasing reveals haplotype-specific copy number heterogeneity by Watkins, Thomas B K, Colliver, Emma C, Huska, Matthew R, Kaufmann, Tom L, Lim, Emilia L, Duncan, Cody B, Haase, Kerstin, Van Loo, Peter, Swanton, Charles, McGranahan, Nicholas, Schwarz, Roland F

    Published in PLoS computational biology (23-10-2023)
    “…Most computational methods that infer somatic copy number alterations (SCNAs) from bulk sequencing of DNA analyse tumour samples individually. However, the…”
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    Journal Article
  4. 4

    Improved identification of cancer mutational processes by Kaufmann, Tom L., Schwarz, Roland F.

    Published in Nature genetics (01-03-2024)
    “…Mutational signatures help to deconvolve the different processes that shape cancer genomes. A new tool now alleviates some of the persistent challenges in the…”
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  5. 5

    SMITH: spatially constrained stochastic model for simulation of intra-tumour heterogeneity by Streck, Adam, Kaufmann, Tom L, Schwarz, Roland F

    Published in Bioinformatics (Oxford, England) (01-03-2023)
    “…Abstract Motivation Simulations of cancer evolution are highly useful to study the effects of selection and mutation rates on cellular fitness. However, most…”
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    Journal Article
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