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Generative AI technology is having substantial impacts across society, and scientific publishing is by no means immune. We highlight journal policies around the use of generative AI and discuss its responsible use in writing, peer reviewing and publishing scientific research.
Current single-cell metabolomics methods show low sensitivity and limited coverage of small-molecule metabolites. We developed an ion mobility-resolved mass cytometry technology that incorporates selective ion accumulation and cell superposition strategies to deliver high sensitivity and deep coverage, which captured over 5,000 metabolic peaks and about 800 metabolites from individual cells in a high-throughput manner.
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.
This Resource paper presents a global SARS-CoV-2 phylogenetic tree of 4,471,579 high-quality genomes consistently constructed by Viridian, an efficient amplicon-aware assembler.
In this field, scientists draw on ecology, population genomics, oceanography and biophysical modeling to assess and predict change. Their dynamic study object just never quite sits still.
Poster sessions are a staple at conferences. Some junior and senior scientists share some experiences and strategies about making and presenting posters.
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.
