mQC

mQC visualizes quality metrics and general features of mapped P-site corrected ribosome profiling (RIBO-Seq) reads to assess data quality for translational-level analyses.

Key Features:

• Modularity: A modular design enables flexible selection and customization of analysis components.
• Comprehensive visualization: Produces detailed plots of ribosome profiling data quality and general features.
• P-site and alignment support: Visualizes aligned reads and P-site corrected reads to evaluate positional accuracy and read distribution.
• Extensive testing: Validated on multiple datasets to demonstrate broad applicability.
• Benchmarking: Compared with other tools and reported to effectively fulfill the role of quality assessment in ribosome profiling analyses.

Scientific Applications:

• RIBO-Seq quality assessment: Enables systematic evaluation of RIBO-Seq data quality prior to downstream analysis.
• Pre-hypothesis data QC: Provides visual QC to identify potential technical issues before hypothesis testing.
• Translational biology studies: Supports studies of gene expression at the translational level, including translation regulation, ribosome stalling, and mRNA stability.

Methodology:

Visualizes quality metrics and general features of mapped, P-site corrected ribosome profiling reads using a modular implementation.