RNAmodR

RNAmodR provides classes and workflows for loading and aggregating data from high throughput sequencing aimed at detecting post-transcriptional modifications through analysis of specific patterns.

Key Features:

• Core framework: Provides core functionality from which specific analysis strategies can be easily implemented as a separate package.
• Data loading and aggregation: Handles loading and aggregation of high throughput sequencing data for modification detection.
• Result validation: Includes utilities to validate detection results.
• Result visualization: Includes utilities to visualize detection results.

Scientific Applications:

• Post-transcriptional modification detection: Enables detection of post-transcriptional modifications in high throughput sequencing data through analysis of specific patterns.

Methodology:

Analysis of specific patterns in aggregated high throughput sequencing data.