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Nature Communications2017

Massively parallel digital transcriptional profiling of single cells

这篇文献会作为平台方法、软件或流程的证据来源,用于帮助理解方法背景和应用边界。

期刊
Nature Communications
年份
2017
关联状态
已关联平台资源

Authors

作者信息

用于判断研究团队、方法出处和后续引用线索。

Grace X. Y. Zheng, Jessica M. Terry, Phillip Belgrader, Paul Ryvkin, Zachary W. Bent, Ryan Wilson, Solongo B. Ziraldo, Tobias D. Wheeler

Abstract

摘要

先读摘要确认研究问题、方法贡献和适用数据类型,再进入关联流程复现。

This paper describes a high-throughput droplet-based single-cell RNA-seq system that enabled large-scale digital transcriptional profiling. It is a key experimental foundation for 10x Genomics workflows and motivates the preprocessing steps performed by tools such as Cell Ranger.