binchicken

Bin Chicken improves microbial genome recovery through automated, targeted selection of metagenomes for coassembly based on shared marker gene sequences derived from raw reads.

Key Features:

• Targeted coassembly: Automatically selects metagenomes for coassembly based on shared marker gene sequences derived from raw reads.
• Novel genome prioritization: Prioritizes marker gene sequences that are divergent from known reference genomes to efficiently recover highly novel genomes.
• Low-abundance recovery: Substantially improves recovery of low-abundance microorganisms that are often missed due to insufficient genomic coverage.

Scientific Applications:

• Metagenome-assembled genome (MAG) recovery: Recovers microbial genomes from metagenomic datasets, including low-abundance and taxonomically targeted MAGs.
• Novel lineage discovery: Expands the genomic tree of life by recovering first genomic representatives of novel phyla, classes, and species.
• Large-scale metagenomic analysis: Enables coassembly of hundreds of sample groups from public metagenomes for comprehensive genome recovery.

Methodology:

Bin Chicken uses an algorithm that derives shared marker gene sequences from raw reads to automatically select metagenomes for targeted coassembly, with prioritization of marker gene sequences divergent from known reference genomes.