QuickRNASeq: Guide for Pipeline Implementation and for Interactive Results Visualization.

Area of Science:

• Genomics
• Bioinformatics
• Computational Biology

Background:

• RNA sequencing (RNA-Seq) is a powerful technology for studying cell transcriptomes and gene expression.
• RNA-Seq data analysis is complex due to the large volume of short reads generated.
• Identifying fusion genes and understanding drug mechanisms rely heavily on RNA-Seq data.

Purpose of the Study:

• To present QuickRNASeq, an application for large-scale RNA sequencing data analysis.
• To automate the processing of RNA-Seq data using open-source tools.
• To provide real-time interactive visualization of complex RNA-Seq datasets for generating user-friendly reports.

Main Methods:

• QuickRNASeq automates the integration of multiple open-source bioinformatics tools.
• The application processes tens to hundreds of millions of short RNA-Seq reads.
• Interactive visualization modules are employed for data exploration and report generation.

Main Results:

• QuickRNASeq generates efficient, user-friendly, and shareable analysis reports.
• The application facilitates the investigation of gene expression changes under various biological conditions.
• Enhanced visualization features improve the interpretation of complex RNA-Seq data.

Conclusions:

• QuickRNASeq offers a robust solution for large-scale RNA sequencing data analysis.
• The tool streamlines the generation of publication-ready reports from complex datasets.
• Advanced interactive visualizations enhance the utility and accessibility of RNA-Seq findings.