Binnacle

Binnacle enhances metagenomic binning by leveraging graph-based scaffolds constructed with MetaCarvel to improve genome reconstruction from shotgun metagenomic sequencing data.

Key Features:

• Graph Scaffold Integration: Uses graph scaffolds constructed with MetaCarvel, representing contigs as nodes connected by edges inferred from paired-end reads, to improve contiguity and bin quality.
• Coverage Estimation: Computes coverage for graph scaffolds to represent genomic elements with atypical coverage or DNA composition, including mobile elements.
• Integration with Binning Tools: Provides wrapper scripts to integrate graph-scaffolded inputs with MetaBAT2, MaxBin 2.0, and CONCOCT for downstream binning.
• Scaffold Clustering for Genome Reconstruction: Clusters scaffolds into bins to capture a broader set of genes and produce more complete, contiguous genome reconstructions than contig-based methods.

Scientific Applications:

• Metagenomic genome reconstruction: Improves recovery of more complete genomes from shotgun metagenomic sequencing datasets.
• Microbial diversity and ecosystem function analysis: Enables analyses that depend on higher-quality genome bins for studying community composition and function.
• Discovery of mobile and novel genetic elements: Enhances detection of elements with unusual coverage or composition within complex communities.

Methodology:

Constructs assembly graphs using MetaCarvel with contigs as nodes and edges inferred from paired-end reads, computes coverage for graph scaffolds, clusters scaffolds into bins, and exports scaffolded inputs for downstream binning with MetaBAT2, MaxBin 2.0, and CONCOCT.