Exploring the RNA editing potential of RNA-Seq data by ExpEdit

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• A-to-I RNA editing influences gene expression and is implicated in human diseases.
• Analyzing RNA editing in RNA-Seq data is computationally challenging due to a lack of dedicated software.

Purpose of the Study:

• To present ExpEdit, a novel web service application.
• To provide methodologies for investigating known RNA editing events in human RNA-Seq datasets.

Main Methods:

• Development of the ExpEdit web service.
• Application of ExpEdit to analyze human RNA-Seq datasets for known RNA editing events.

Main Results:

• ExpEdit simplifies the exploration of A-to-I RNA editing impacts in massive transcriptome sequencing experiments.
• Methodologies for investigating RNA editing in human RNA-Seq data are presented.

Conclusions:

• ExpEdit addresses the challenge of analyzing RNA editing in large RNA-Seq datasets.
• The developed tool and methodologies facilitate research into RNA editing's role in human health and disease.