Modelling multi-template PCR biases in 16S rRNA amplicon sequencing data

Targeted amplification is the most popular and accessible way of studying microbial communities. However, it comes at the price of reduced data robustness due to PCR artifacts and compositional biases. We use a series of human gut microbiota to develop a PCR amplification model and characterize PCR bias under real-world conditions.