nf-core mag
nf-core mag performs assembly, binning, annotation, and taxonomic profiling of shotgun metagenomic sequencing reads to reconstruct metagenome-assembled genomes (MAGs) and characterize microbial community composition.
Key Features:
- Integration of Short and Long Reads: Optionally combines short- and long-read sequencing data to improve assembly continuity and genome reconstruction.
- Co-assembly and Genome Binning: Supports sample-wise co-assembly and genome binning using group information to leverage multiple samples for improved MAG recovery.
- Taxonomic Classification: Performs taxonomic classification of assembled genomes or bins to characterize microbial community composition.
- Reproducibility and Portability: Implemented in Nextflow with containerized dependencies to ensure reproducible, portable execution across computational environments.
Scientific Applications:
- Genome-resolved Metagenomics: Reconstruction of MAGs from complex microbial communities for downstream genomic and functional analyses.
- Microbial Ecology and Environmental Microbiology: Profiling microbial diversity, function, and interactions in microbiology, ecology, and environmental science using genome-resolved data.
Methodology:
Data preprocessing; assembly (optionally integrating short and long reads) and co-assembly; sample-wise genome binning; genome annotation; and taxonomic classification.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Groovy, Python
- Added:
- 2/12/2022
- Last Updated:
- 2/12/2022
Operations
Publications
Krakau S, Straub D, Gourlé H, Gabernet G, Nahnsen S. nf-core/mag: a best-practice pipeline for metagenome hybrid assembly and binning. NAR Genomics and Bioinformatics. 2022;4(1). doi:10.1093/nargab/lqac007. PMID:35118380. PMCID:PMC8808542.
PMID: 35118380
PMCID: PMC8808542
Funding: - Deutsche Forschungsgemeinschaft: 398967434 - TRR 261, EXC 2124 - 390838134, EXC 2180 - 390900677, ZUK63
- German Federal Ministry of Education and Research: 01ZX1301F
- Chan Zuckerberg Initiative: EOSS2-0000000270
Downloads
Links
Repository
https://nf-co.re/mag