science
AmbientMapper Targets Contamination in High-Throughput Single-Cell Data
A University of Michigan team has introduced AmbientMapper, a computational method that estimates ambient chromatin contamination in combinatorial single-cell experiments. In a bioRxiv preprint, the authors report a 0.19% wrong-genome rate on a 26-genome reference panel and recovery of low-depth nuclei that standard pipelines discarded.