SEQualyzer
Computational Tool
FAIR Metrics
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General Information
DescriptionInteractive tool for quality control and exploratory analysis of high-throughput RNA structural profiling data
Homepagehttp://bme.ucdavis.edu/aviranlab/SEQualyzer
Publications
SEQualyzer: interactive tool for quality control and exploratory analysis of high-throughput RNA structural profiling data
Krishna Choudhary; Luyao Ruan; Fei Deng; Nathan Shih; Sharon Aviran
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 information: Supplementary data are available at Bioinformatics online.
Metrics:
Canned Analyses generated by the tool
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