Computational Analysis Tutorial for Chimeric Small Noncoding RNA: Target RNA Sequencing Libraries

Area of Science:

• Molecular Biology
• Bioinformatics
• Genomics

Background:

• Biochemical approaches, including chimeric RNA sequencing, have advanced understanding of in vivo gene regulatory interactions between small noncoding RNAs (sncRNAs) and their targets.
• Chimeric RNA sequencing datasets offer genome-wide and less ambiguous insights compared to miRNA prediction software.
• Analyzing chimeric RNA sequencing data requires computational expertise, posing a barrier for many biologists.

Purpose of the Study:

• To provide a tutorial for entry-level computational biologists on installing and applying the Small Chimeric RNA Analysis Pipeline (SCRAP).
• To reduce the computational barrier for biologists to gain insights from chimeric RNA sequencing data.
• To facilitate discovery-based investigations of regulatory sncRNA:target RNA interactions.

Main Methods:

• Installation and application of the open-source Small Chimeric RNA Analysis Pipeline (SCRAP).
• Explanation of pipeline steps and manipulation of key user-input variables.
• Platform requirements and updates for the SCRAP tool.

Main Results:

• The tutorial provides clear instructions for using SCRAP.
• The SCRAP tool simplifies the analysis of chimeric RNA sequencing data.
• The report aims to empower biologists with computational tools for biological discovery.

Conclusions:

• The SCRAP software tool lowers the barrier for biologists to analyze chimeric RNA sequencing data.
• Simplified analysis of sncRNA:target RNA interactions can accelerate discoveries in gene regulation.
• This resource supports broader adoption of biochemical approaches for studying gene regulation.