Kasper Skytte Andersen

Savont improves ASV recovery from long-read amplicon sequencing with high accuracy and lower sequencing depth.

This study shows that Oxford Nanopore Technologies can generate amplicon sequence variants (ASVs) directly from raw reads, enabling high-resolution microbial community profiling without reliance on reference databases.

The paper expands the MiDAS database with global anaerobic digester microbiome data, revealing environmental influences on microbial communities and identifying core taxa.

ampvis2 unifies 16S amplicon count tables, taxonomy, and sample metadata in one R object, feeding ggplot2 heatmaps at any taxonomic rank and single-call ordination (seven methods).