计算生物学
数据共享
计算机科学
组学
蛋白质组学
生物
生物信息学
医学
遗传学
基因
病理
替代医学
作者
A. Hutton,Lizhuo Ai,Jesse G. Meyer
标识
DOI:10.1021/acs.jproteome.5c00178
摘要
Single-cell omics data analyses are complicated to design and difficult to distribute or reproduce. We present a web platform that enables no-code analysis pipeline design, computing, and the sharing of entire data analysis pipelines, their input data, and interactive results as a unit. We expect this platform to improve the accessibility and reproducibility of single-cell omics.
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