Machine learning for microbiologists

Machine learning for microbiologists

  • Francesco Asnicar
  • Andrew Maltez Thomas
  • Nicola Segata
Review Article

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  • In this study, Armani-Tourret et al. show that the combination of panobinostat and pegylated interferon-α2a transforms the structure and composition of the HIV-1 reservoir and could potentially counter it.

    • Agustina Taglialegna
    Research Highlight
  • In this study, Liu et al. explore the interplay between a fungal effector and a plant cysteine protease and design a small-molecule compound aimed at targeting this effector to combat rice blast disease.

    • Agustina Taglialegna
    Research Highlight
  • In this Journal Club, Salvador Almagro-Moreno discusses a study by Kirn et al., which explores the emergence of virulence traits in Vibrio cholerae and demonstrates how the ability of this pathogen to colonize the host shares a common mechanism to its capacity to thrive in natural environments.

    • Salvador Almagro-Moreno
    Journal Club
  • Wastewater genomic surveillance can transform global viral disease monitoring. This Genome Watch article explores the techniques, analytical pipelines and implications for public health.

    • Arin Wongprommoon
    • Chalita Chomkatekaew
    • Claire Chewapreecha
    Genome Watch
SARS-CoV-2 virions

COVID-19

The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has led to substantial disease and millions of deaths worldwide, with devastating socio-economic impacts. This Series contains articles from Nature Reviews Microbiology that explore the basic biology, epidemiology, emergence, evolution and pathogenesis of SARS-CoV-2 and pathogenic coronaviruses, as well as options for the control and prevention of COVID-19.
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