Genome Watch in 2020

Filter By:

Article Type
Year
  • This month’s Genome Watch examines how natural language processing and machine learning are being implemented in the hunt for new antimicrobial peptides.

    • Annapaula Correia
    • Aaron Weimann
    Genome Watch
  • This month’s Genome Watch highlights how the search for the origins of SARS-CoV-2 emphasizes the need for integrated phylogenetic methods.

    • Russell Y. Neches
    • Matthew D. McGee
    • Nikos C. Kyrpides
    Genome Watch
  • This month’s Genome Watch highlights how genomic surveillance can provide important information for identifying and tracking emerging pathogens such as SARS-CoV-2.

    • Stephanie W. Lo
    • Dorota Jamrozy
    Genome Watch
  • This month’s Genome Watch highlights a set of single-cell approaches that yield powerful insights into microbial biology.

    • Benjamin J. Cole
    • Jonelle T. R. Basso
    • Axel Visel
    Genome Watch
  • This month’s Genome Watch examines how novel machine learning-enabled molecular diagnostic approaches can predict antibiotic resistance when ge-netic variation falls short.

    • Nicole E. Wheeler
    • Leonor Sánchez-Busó
    • Benjamin Jeffrey
    Genome Watch
  • This month’s Genome Watch highlights efforts to engineer microorganisms and their plant hosts to address the challenges of sustainable agriculture.

    • Rekha Seshadri
    Genome Watch