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Updated: Jun 26, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
Published on: August 20, 2021
LORA: a polymorphic multi-sample long read assembly pipeline
Dimitri Desvillechabrol1,2, Rania Ouazahrou1,2, Juliana Pipoli da Fonseca3
1Institut Pasteur, Université Paris Cité, Plate-forme Technologique Biomics, F-75015 Paris, France.
LORA is a new, user-friendly application for genome assembly using long-read sequencing data. It integrates multiple tools and quality checks, ensuring reproducible and high-quality genomic results for diverse species.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Long-read sequencing is crucial for high-contiguity genome assembly, especially for complex genomic regions.
- Existing genome assemblers vary in performance and reproducibility, posing challenges for researchers.
- The need for standardized, reproducible workflows in genome assembly is critical.
Purpose of the Study:
- To develop LORA, an easy-to-use and reproducible application for genome assembly from long-read sequencing data.
- To integrate multiple established and novel genome assembly tools into a single pipeline.
- To provide comprehensive quality assessment and reporting features for genome assemblies.
Main Methods:
- LORA is implemented as a Snakemake pipeline for parallel task execution and cluster compatibility.
- It integrates assemblers such as Canu, HiFiasm, Flye, Unicycler, Necat, and Pecat.
- Includes quality assessment, interactive HTML reports, taxonomic identification (BLAST), and completeness evaluation.
Main Results:
- Demonstrated LORA's capability in assembling bacterial and unicellular eukaryotic genomes using PacBio and Oxford Nanopore data.
- Highlighted typical outcomes and common pitfalls in long-read genome assembly workflows.
- Provided a comprehensive view of assembly quality and potential issues through integrated reporting.
Conclusions:
- LORA offers a reproducible and comprehensive solution for long-read genome assembly.
- The application facilitates the interpretation of assembly quality and identification of potential problems.
- LORA is part of the Sequana project, promoting reproducibility and ease of deployment.
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