Sampling artifacts in single-cell genomics cohort studies
José Ignacio Martín-Subero,
Posted 15 Jan 2020
bioRxiv DOI: 10.1101/2020.01.15.897066
Posted 15 Jan 2020
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. Here, we report the existence and extent of gene expression and chromatin accessibility artifacts introduced during sampling and identify experimental and computational solutions for their prevention.
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