Benchmarking Results of Metagenomic Pipelines across Diverse Microbiomes

View Dataset
Muhammad Muneeb Nasir;Kayani, Masood ur Rehman

Description

This repository contains assembly and binning results generated from metagenomic analyses of four distinct microbiome environments: gut, sewage, air, and a simulated dataset. Each dataset was analyzed using three genome-resolved metagenomic pipelines:MetaBolt – A computationally efficient, Nextflow-based pipeline employing an optimized set of k-mers for rapid and scalable recovery of metagenome-assembled genomes (MAGs).MetaWRAP – A widely adopted modular pipeline designed for comprehensive metagenomic binning and genome reconstruction.nf-core/mag – A community-curated, Nextflow-based pipeline for reproducible metagenomic assembly, binning, and quality assessment following best practices.This dataset is intended to support reproducible benchmarking and comparative performance evaluation of metagenomic assembly and binning workflows.Microbiome DatasetsThe following publicly available datasets were used:Gut Microbiome – NCBI BioProject: PRJNA945504Sewage Microbiome – NCBI BioProject: PRJNA1020581Air Microbiome – NCBI BioProject: PRJNA486429Simulated Microbiome – CAMI II Toy Human Gut Metagenome datasetEach dataset contains 10 representative samples, processed with MetaBolt, MetaWRAP and nf-core/mag using identical inputs.CitationIf you use this dataset or any part of it in your work, please cite the following resources accordingly:MetaBolt: MetaBolt: A Computationally Efficient Pipeline for the Rapid Recovery of Metagenome-Assembled Genomes, 2025.Zenodo DOI: https://doi.org/10.5281/zenodo.15243430MetaWRAP: MetaWRAP – a flexible pipeline for genome-resolved metagenomic data analysis. Microbiome. 2018;6:158.DOI: https://doi.org/10.1186/s40168-018-0541-1nf-core/mag: nf-core/mag: Metagenome Assembly and Binning Pipeline. nf-core, 2020.DOI: https://doi.org/10.5281/zenodo.3589523

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.8

FAIR Score

81%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

60%

Source

Scholar Data Model

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00