Abstract

The study of microbiomes using whole-metagenome shotgun sequencing enables the analysis of uncultivated microbial populations that may have important roles in their environments. Extracting individual draft genomes (bins) facilitates metagenomic analysis at the single genome level. Software and pipelines for such analysis have become diverse and sophisticated, resulting in a significant burden for biologists to access and use them. Furthermore, while bin extraction algorithms are rapidly improving, there is still a lack of tools for their evaluation and visualization. To address these challenges, we present metaWRAP, a modular pipeline software for shotgun metagenomic data analysis. MetaWRAP deploys state-of-the-art software to handle metagenomic data processing starting from raw sequencing reads and ending in metagenomic bins and their analysis. MetaWRAP is flexible enough to give investigators control over the analysis, while still being easy-to-install and easy-to-use. It includes hybrid algorithms that leverage the strengths of a variety of software to extract and refine high-quality bins from metagenomic data through bin consolidation and reassembly. MetaWRAP’s hybrid bin extraction algorithm outperforms individual binning approaches and other bin consolidation programs in both synthetic and real data sets. Finally, metaWRAP comes with numerous modules for the analysis of metagenomic bins, including taxonomy assignment, abundance estimation, functional annotation, and visualization. MetaWRAP is an easy-to-use modular pipeline that automates the core tasks in metagenomic analysis, while contributing significant improvements to the extraction and interpretation of high-quality metagenomic bins. The bin refinement and reassembly modules of metaWRAP consistently outperform other binning approaches. Each module of metaWRAP is also a standalone component, making it a flexible and versatile tool for tackling metagenomic shotgun sequencing data. MetaWRAP is open-source software available at https://github.com/bxlab/metaWRAP.

Keywords

MetagenomicsBiologyComputational biologyPipeline (software)GenomeMicrobial ecologyMedical microbiologyGeneticsEvolutionary biologyGeneBacteriaComputer scienceMicrobiology

MeSH Terms

AlgorithmsBacteriaData AnalysisData MiningGastrointestinal MicrobiomeGenomeBacterialHumansMetagenomeMetagenomicsSoftware

Affiliated Institutions

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Publication Info

Year
2018
Type
article
Volume
6
Issue
1
Pages
158-158
Citations
2274
Access
Closed

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Social media, news, blog, policy document mentions

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2274
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206
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Cite This

Gherman Uritskiy, Jocelyne DiRuggiero, James Taylor (2018). MetaWRAP—a flexible pipeline for genome-resolved metagenomic data analysis. Microbiome , 6 (1) , 158-158. https://doi.org/10.1186/s40168-018-0541-1

Identifiers

DOI
10.1186/s40168-018-0541-1
PMID
30219103
PMCID
PMC6138922

Data Quality

Data completeness: 90%