Auflistung nach Autor:in "Yermanos, Alexander"

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    Publikation
    Comparison of methods for phylogenetic B-cell lineage inference using time-resolved antibody repertoire simulations (AbSim)
    (Oxford University Press, 31.08.2017) Yermanos, Alexander; Greiff, Victor; Krautler, Nike Julia; Menzel, Ulrike; Dounas, Andreas; Miho, Enkelejda; Oxenius, Annette; Stadler, Tanja; Reddy, Sai T.; Kelso, Janet
    Motivation: The evolution of antibody repertoires represents a hallmark feature of adaptive B-cell immunity. Recent advancements in high-throughput sequencing have dramatically increased the resolution to which we can measure the molecular diversity of antibody repertoires, thereby offering for the first time the possibility to capture the antigen-driven evolution of B cells. However, there does not exist a repertoire simulation framework yet that enables the comparison of com monly utilized phylogenetic methods with regard to their accuracy in inferring antibody evolution.
    01A - Beitrag in wissenschaftlicher Zeitschrift
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    Publikation
    Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires
    (Frontiers Research Foundation, 2018) Miho, Enkelejda; Yermanos, Alexander; Weber, Cédric R.; Berger, Christoph T.; Reddy, Sai T.; Greiff, Victor
    The adaptive immune system recognizes antigens via an immense array of antigen binding antibodies and T-cell receptors, the immune repertoire. The interrogation of immune repertoires is of high relevance for understanding the adaptive immune response in disease and infection (e.g., autoimmunity, cancer, HIV). Adaptive immune receptor repertoire sequencing (AIRR-seq) has driven the quantitative and molecular-level profiling of immune repertoires, thereby revealing the high-dimensional complexity of the immune receptor sequence landscape. Several methods for the computational and statistical analysis of large-scale AIRR-seq data have been developed to resolve immune repertoire complexity and to understand the dynamics of adaptive immunity. Here, we review the current research on (i) diversity, (ii) clustering and network, (iii) phylogenetic, and (iv) machine learning methods applied to dissect, quantify, and compare the architecture, evolution, and specificity of immune repertoires. We summarize outstanding questions in computational immunology and propose future directions for systems immunology toward coupling AIRR-seq with the computational discovery of immunotherapeutics, vaccines, and immunodiagnostics.
    01A - Beitrag in wissenschaftlicher Zeitschrift