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SEQualyzer: interactive tool for quality control and exploratory analysis of high-throughput RNA structural profiling data.


ABSTRACT:

Summary

To serve numerous functional roles, RNA must fold into specific structures. Determining these structures is thus of paramount importance. The recent advent of high-throughput 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.

Availability and implementation

SEQualyzer is written in R, is platform-independent, and is freely available at http://bme.ucdavis.edu/aviranlab/SEQualyzer.

Contact

saviran@ucdavis.edu

Supplementary informantion

Supplementary data are available at Bioinformatics online.

SUBMITTER: Choudhary K 

PROVIDER: S-EPMC6075182 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature

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Publications

SEQualyzer: interactive tool for quality control and exploratory analysis of high-throughput RNA structural profiling data.

Choudhary Krishna K   Ruan Luyao L   Deng Fei F   Shih Nathan N   Aviran Sharon S  

Bioinformatics (Oxford, England) 20170201 3


<h4>Summary</h4>To serve numerous functional roles, RNA must fold into specific structures. Determining these structures is thus of paramount importance. The recent advent of high-throughput 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 SEQualyz  ...[more]

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