SEQualyzer: interactive tool for quality control and exploratory analysis of high-throughput RNA structural profiling data
SEQualyzer: interactive tool for quality control and exploratory analysis of high-throughput RNA structural profiling data
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DOI：
10.1093/bioinformatics/btw627
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发表时间：
2017-02-01
期刊：
影响因子：
5.8
通讯作者：
Aviran, Sharon
中科院分区：
文献类型：
--
作者：
Choudhary, Krishna;Ruan, Luyao;Aviran, Sharon
为了发挥多种功能作用，RNA必须折叠成特定的结构。因此，确定这些结构至关重要。最近出现的高通量测序为基础的结构分析实验提供了重要的见解，RNA的结构和拓宽了RNA的研究范围。然而，随着各种各样的方法不断出现，需要一个通用框架，以在数量上确保一致和高质量的数据。我们提出了SEQualyzer，一个可视化和交互式的应用程序，使其易于和有效地衡量数据质量，筛选高质量的信息转录本，并确定不一致的重复结构分析实验。我们的方法依赖于各种协议的共同特征，可以作为质量控制和分析的标准。
To serve numerous functional roles, RNA must fold into specific structures. Determining these structures is thus of paramount importance. The recent advent of highthroughput sequencing-based structure profiling experiments has provided important insights into RNA structure and widened the scope of RNA studies. However, as a broad range of approaches continues to emerge, a universal framework is needed to quantitatively ensure consistent and high-quality data. We present SEQualyzer, a visual and interactive application that makes it easy and efficient to gauge data quality, screen for transcripts with high-quality information and identify discordant replicates in structure profiling experiments. Our methods rely on features common to a wide range of protocols and can serve as standards for quality control and analyses.