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MATES: a deep learning-based model for locus-specific quantification of transposable elements in single cell

Methods overviewMATES is a specialized tool designed for locus-level quantification of TEs in single-cell datasets of different modalities. The method involves several key steps....

Foraging distance distributions reveal how honeybee waggle dance recruitment varies with landscape

OverviewTo predict the distribution of forage site distances reported by bees employing individual search (scouts) or following dances (recruits), we built a theoretical model...

A deployable film method to enable replicable sampling of low-abundance environmental microbiomes

Microbiomes and human healthEnvironmental microbiomes, diverse and ecologically complex microbial communities associated with inhabitable spaces, interact with and impact human-associated microbiota and human health...

Best practices for differential accessibility analysis in single-cell epigenomics

Lack of consensus in single-cell DA analysisWe first sought to map the landscape of statistical methods that have been used to perform DA analysis....

Multi-omic analysis identifies the molecular mechanism of hepatocellular carcinoma with cirrhosis

Clinicopathologic characteristics of HCC patients with cirrhosisBased on the degrees of liver fibrosis, the patients in the TCGA-LIHC cohort were divided into five groups...

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