TY - JOUR T1 - Sampling artifacts in single-cell genomics cohort studies JF - bioRxiv DO - 10.1101/2020.01.15.897066 SP - 2020.01.15.897066 AU - Ramon Massoni-Badosa AU - Giovanni Iacono AU - Catia Moutinho AU - Marta Kulis AU - Núria Palau AU - Domenica Marchese AU - Javier Rodríguez-Ubreva AU - Esteban Ballestar AU - Gustavo Rodriguez-Esteban AU - Sara Marsal AU - Marta Aymerich AU - Dolors Colomer AU - Elias Campo AU - Antonio Julià AU - José Ignacio Martín-Subero AU - Holger Heyn Y1 - 2020/01/01 UR - http://biorxiv.org/content/early/2020/01/15/2020.01.15.897066.abstract N2 - 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. ER -