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• W3000289322 abstract "Abstract 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." @default.
• W3000289322 created "2020-01-23" @default.
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• W3000289322 date "2020-01-15" @default.
• W3000289322 modified "2023-10-17" @default.
• W3000289322 title "Sampling artifacts in single-cell genomics cohort studies" @default.
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• W3000289322 doi "https://doi.org/10.1101/2020.01.15.897066" @default.
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