Sampling time-dependent artifacts in single-cell genomics studies

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...

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Bibliographic Details
Main Authors: Ramon Massoni-Badosa, Giovanni Iacono, Catia Moutinho, Marta Kulis, Núria Palau, Domenica Marchese, Javier Rodríguez-Ubreva, Esteban Ballestar, Gustavo Rodriguez-Esteban, Sara Marsal, Marta Aymerich, Dolors Colomer, Elias Campo, Antonio Julià, José Ignacio Martín-Subero, Holger Heyn
Format: Article
Language:English
Published: BMC 2020-05-01
Series:Genome Biology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13059-020-02032-0