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Performing pandemic-scale phylogenetic analysis poses multifaceted challenges. This study develops methods for identifying and accounting for mutation rate variation and recurrent sequence errors, leading to an improved global phylogenetic tree of >2 million severe acute respiratory syndrome coronavirus 2 genomes.
An ion mobility-resolved mass cytometry method for single-cell metabolomics enables multidimensional metabolomic profiling. The approach was used to curate a metabolic single-cell atlas containing 45,603 primary liver cells from aging mice.
DBiTplus represents an integrated experimental and computational workflow that unifies sequencing-based and imaging-based spatial omics, demonstrated by combining transcriptomic profiling and multiplexed protein imaging on the same tissue section.
MaAsLin 3 is a comprehensive and flexible framework for microbiome association studies with expanded toolsets of statistical models, tests and types of inference.
