Lathe

Lathe reconstructs high-quality bacterial genomes from human gut metagenomic long-read sequencing data.


Key Features:

  • High-Molecular-Weight DNA Extraction: Protocol extracts microgram quantities of high-molecular-weight DNA from human stool samples suitable for long-read sequencing.
  • Long-Read Sequencing Compatibility: Optimized for Nanopore long-read sequencing to support contiguous bacterial genome assembly.
  • Computational Workflow: Includes long-read basecalling, assembly, consensus refinement using both long reads and Illumina short reads, and genome circularization.
  • Efficiency: End-to-end process from DNA extraction to genome assembly reported to complete in approximately 10 days with about 2 days of hands-on bench and computational effort.

Scientific Applications:

  • Microbiome genomics: Generation of high-quality contiguous bacterial genomes from human gut metagenomes to support genomic and functional analyses.
  • Mobile genetic element analysis: Recovery of repeated genomic elements, including mobile genetic elements, to study their roles in bacterial phenotype, adaptation, and pathogenicity.
  • Gene function and diversity studies: Improved assemblies facilitate investigation of microbial diversity and gene function within the gut microbiome.

Methodology:

Long-read basecalling, assembly, consensus refinement using both long reads and Illumina short reads, and genome circularization.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Programming Languages:
Python, R
Added:
1/18/2021
Last Updated:
11/24/2024

Operations

Publications

Maghini DG, Moss EL, Vance SE, Bhatt AS. Improved high-molecular-weight DNA extraction, nanopore sequencing and metagenomic assembly from the human gut microbiome. Nature Protocols. 2020;16(1):458-471. doi:10.1038/s41596-020-00424-x. PMID:33277629. PMCID:PMC8750633.

PMID: 33277629
PMCID: PMC8750633
Funding: - U.S. Department of Health & Human Services | National Institutes of Health: 1S10OD02014101, P30 AG047366, P30 CA124435, R01AI143757, R01AI148623 - National Science Foundation: DGE-114747