Sampling time-dependent artifacts in single-cell genomics studies
Sampling time-dependent artifacts in single-cell genomics studies
Robust protocols and automation now enable large-scale single-cell RNA and ATAC sequencing experiments and their application on biobank and clinical cohorts. However, technical biases introduced during sample acquisition can hinder solid, reproducible results, and a systematic benchmarking is required before entering large-scale data production.