raer

raer identifies and statistically tests RNA editing signals from within R, providing support for site identification from bulk-RNA and single cell RNA-seq datasets.

Key Features:

• RNA editing site identification: Identifies RNA editing sites from bulk-RNA and single cell RNA-seq datasets.
• Allelic read count extraction: Provides general methods for extraction of allelic read counts from alignment files.
• Annotation and exploratory analysis: Facilitates annotation and exploratory analysis of editing signals using Bioconductor packages and resources.
• Statistical testing: Performs statistical testing of RNA editing signals.

Scientific Applications:

• Bulk-RNA sequencing analysis: Supports identification of RNA editing sites from bulk-RNA sequencing datasets.
• Single cell RNA-seq analysis: Supports identification of RNA editing sites from single cell RNA-seq datasets.
• RNA editing signal exploration: Enables annotation and exploratory analysis of RNA editing signals using Bioconductor resources.

Methodology:

Extracts allelic read counts from alignment files; statistical testing of RNA editing signals.