协议(科学)
再现性
计算机科学
一致性(知识库)
标准化
个性化
计算生物学
数据科学
生化工程
生物
工程类
医学
数学
统计
人工智能
万维网
病理
替代医学
操作系统
作者
Maitreya Das,Ayaan Hossain,Deepro Banerjee,Craig A. Praul,Santhosh Girirajan
标识
DOI:10.1101/2022.07.27.501795
摘要
Abstract High-throughput methods such as RNA-seq, ChIP-seq and ATAC-seq have well-established guidelines, commercial kits, and analysis pipelines that enable consistency and wider adoption for understanding genome function and regulation. STARR-seq, a popular assay for directly quantifying activity of thousands of enhancer sequences simultaneously, has seen limited standardization across studies. The assay is long with >250 steps, and frequent customization of the protocol and variations in bioinformatics methods raise concerns for reproducibility of STARR-seq studies. Here, we assess each step of the protocol and analysis pipelines from published sources and in-house assays, and identify critical steps and QC checkpoints necessary for reproducibility of the assay. We also provide guidelines for experimental design, protocol scaling, customization, and analysis pipelines for better adoption of the assay. These resources will allow better optimization of STARR-seq for specific research needs, enable comparisons and integration across studies, and improve reproducibility of results.
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