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The Evolving Faces of the SARS-CoV-2 GenomeSchmidt, Maria, Arshad, Mamoona, Bernhart, Stephan H., Hakobyan, Siras, Arakelyan, Arsen, Loeffler-Wirth, Henry, Binder, Hans 09 May 2023 (has links)
Surveillance of the evolving SARS-CoV-2 genome combined with epidemiological monitoring and emerging vaccination became paramount tasks to control the pandemic which is rapidly changing in time and space. Genomic surveillance must combine generation and sharing sequence data with appropriate bioinformatics monitoring and analysis methods. We applied molecular portrayal using self-organizing maps machine learning (SOM portrayal) to characterize the diversity of the virus genomes, their mutual relatedness and development since the beginning of the pandemic. The genetic landscape obtained visualizes the relevant mutations in a lineage-specific fashion and provides developmental paths in genetic state space from early lineages towards the variants of concern alpha, beta, gamma and delta. The different genes of the virus have specific footprints in the landscape reflecting their biological impact. SOM portrayal provides a novel option for ‘bioinformatics surveillance’ of the pandemic, with strong odds regarding visualization, intuitive perception and ‘personalization’ of the mutational patterns of the virus genomes.
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Novel proapoptotic p63 isoforms are driven by an endogenous retrovirus in the male germ line of humans and great apes, likely increasing genome stability / Neue proapoptotische p63-Isoformen werden von einem endogenen Retrovirus in den männlichen Keimbahnen von Mensch und Menschenaffen gesteuert und erhöhen wahrscheinlich die genomische StabilitätBeyer, Ulrike 29 October 2010 (has links)
No description available.
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