Sampling artifacts in single-cell genomics cohort studies
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.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
31
References
2
Citations
NaN
KQI