Rmapper

Rmapper assembles optical mapping data (Rmaps) using a de Bruijn graph framework with extended bi-label definitions, enabling scalable and accurate genome map construction for large and complex genomes.

Key Features:

• De Bruijn Graph-Based Assembly: Applies a de Bruijn graph approach to Rmap assembly, replacing the overlap-layout-consensus (OLC) paradigm and extending bi-label definitions to optical mapping data.
• High Performance and Scalability: Assembles genomes including Escherichia coli, human, and Anabas testudineus with improved speed, memory efficiency, and zero mis-assemblies compared to OLC-based methods and Bionano Genomics Solve.

Scientific Applications:

• Optical Map-Based Genome Assembly: Supports high-resolution genome mapping and assembly for complex genomes in large-scale genomic studies.

Methodology:

Rmapper constructs de Bruijn graphs from optical mapping Rmaps using extended bi-label representations, enabling efficient graph traversal and assembly while reducing computational time and memory usage relative to OLC-based approaches.