What question did this study set out to answer?

To introduce RSeQC, a dedicated software package designed to evaluate the quality of RNA sequencing data.

June 27, 2012BioinformaticsOpen Access

RSeQC: quality control of RNA-seq experiments

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Computational tool development presents an open-source package for RNA-seq quality control, facilitating reliable downstream transcriptome analysis.

To introduce RSeQC, a dedicated software package designed to evaluate the quality of RNA sequencing data.
Developed the computational package using a combination of Python and C programming languages.
Released the underlying source code alongside a comprehensive user manual in a publicly accessible online repository.
Delivered an open-source software application tailored for comprehensive quality control of RNA-seq experiments.
Provided freely accessible documentation and source distribution to support reproducible genomic workflows.

Wang et al. (2012) studied this question.

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Computational tool development presents an open-source package for RNA-seq quality control, facilitating reliable downstream transcriptome analysis.