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
Funding: - Joint Genome Institute: CSP No 166 - National Science Foundation: DEB 1749252