BinaRena
BinaRena facilitates human-guided exploration and refinement of metagenomes to support assembly and curation of metagenome-assembled genomes (MAGs) with improved biological relevance.
Key Features:
- Interactive Visualization: Interactive scatter plots of contigs integrating sequence metrics, coverage profiles, taxonomic assignments, and functional annotations, enabling selection, masking, highlighting, focusing, and searching of contigs.
- Customizable Binning Plans: Edit, inspect, and compare binning plans with quantitative metrics including the silhouette coefficient and adjusted Rand index.
- Real-Time Quality Metrics: Real-time calculation of completeness and contamination for user-selected contigs.
- MAG Assembly and Curation: Support for human-guided assembly and curation of metagenome-assembled genomes (MAGs) to delineate functional and evolutionary guilds within microbial communities.
Scientific Applications:
- Biological Pattern Discovery: Facilitation of discovery and hypothesis generation from complex metagenomes, exemplified by analysis of a tropical peatland dataset.
- Pathogen Isolation: Isolation and curation of pathogenic genomes within closely related populations from gut microbiota of diarrheal human subjects.
- Binning Quality Improvement: Curation of automated binner outputs to improve overall binning quality, demonstrated using a simulated marine dataset.
Methodology:
Manual refinement of metagenomic assemblies using interactive visualization of contigs, real-time completeness and contamination calculations, and quantitative comparison of binning plans via silhouette coefficient and adjusted Rand index.
Topics
Details
- License:
- BSD-3-Clause
- Cost:
- Free of charge
- Tool Type:
- web application
- Programming Languages:
- JavaScript, R
- Added:
- 1/29/2024
- Last Updated:
- 11/24/2024
Operations
Publications
Pavia MJ, Chede A, Wu Z, Cadillo-Quiroz H, Zhu Q. BinaRena: a dedicated interactive platform for human-guided exploration and binning of metagenomes. Microbiome. 2023;11(1). doi:10.1186/s40168-023-01625-8. PMID:37596696. PMCID:PMC10439608.
PMID: 37596696
PMCID: PMC10439608
Funding: - Joint Genome Institute: CSP No 166
- National Science Foundation: DEB 1749252