Rgb

Rgb provides memory-efficient genome browsing and manipulation of genomically located data within the R environment for visualization and analysis of genomic tracks.

Key Features:

• Memory Efficiency: Handles computationally intensive genome browsing tasks with reduced time and memory usage.
• Low-level classes and methods: Provides low-level classes and methods in R for genomic data manipulation and genomic track handling.
• Performance: Benchmark tests using human datasets demonstrated performance improvements by several orders of magnitude over existing solutions.

Scientific Applications:

• Genomic track visualization: Exploration and visualization of genomic tracks for analysis of genomically located data.
• Genomic data manipulation in R: Efficient processing and manipulation of genomic data within R scripts.
• Workflow integration: Integration into broader bioinformatics workflows that require genome browsing and track management.

Methodology:

Rgb leverages the R programming language by providing classes and functions specifically tailored for genomic track manipulation. Its design ensures compatibility across Windows, Linux, and Mac OS.