SqueezeMeta, A Highly Portable, Fully Automatic Metagenomic Analysis Pipeline

Area of Science:

• Microbiology
• Bioinformatics
• Genomics

Background:

• Metagenomic sequencing is crucial for microbiome analysis but involves complex bioinformatic challenges.
• Existing analysis pipelines often require high-performance computing and specialized infrastructure.

Purpose of the Study:

• To develop SqueezeMeta, a fully automatic and user-friendly pipeline for metagenomics and metatranscriptomics analysis.
• To enable efficient co-assembly and genome binning from multiple metagenomes.
• To provide a tool that runs on standard desktop computers without high-performance computing requirements.

Main Methods:

• SqueezeMeta automates all steps of metagenomic/metatranscriptomic analysis, including co-assembly and binning.
• It supports multi-metagenome analysis, gene abundance estimation, and internal consistency checks.
• Results are stored in a MySQL database with a web interface for easy querying and sharing.

Main Results:

• SqueezeMeta successfully analyzed 32 gut metagenomes, retrieving millions of genes and hundreds of genomic bins.
• Co-assembly of two metagenomes and full analysis were completed in under a day on a laptop.
• The pipeline demonstrated efficient performance without high-performance computing or network connectivity.

Conclusions:

• SqueezeMeta offers a powerful, accessible solution for comprehensive microbiome data analysis.
• Its ability to run on standard hardware makes advanced metagenomic analysis feasible for a wider range of users and settings.
• The pipeline is suitable for in situ, real-time analysis, particularly for nanopore sequencing data.