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Updated: Nov 20, 2025

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
Real-time resolution of short-read assembly graph using ONT long reads
Son Hoang Nguyen1, Minh Duc Cao1, Lachlan J M Coin1,2,3,4
1Institute for Molecular Bioscience, the University of Queensland, St Lucia, Brisbane, Australia.
npGraph improves hybrid genome assembly by utilizing real-time Oxford Nanopore Technology (ONT) sequencing data and assembly graphs. This streaming tool enhances accuracy and completeness for bacterial genomes with low computational cost.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Efficient genome assembly is crucial for reducing sequencing costs and time-to-result.
- Previous streaming hybrid assembly tools like npScarf showed limitations in accuracy due to mis-assemblies.
Purpose of the Study:
- To develop npGraph, a novel streaming hybrid assembly tool that improves genome assembly accuracy and completeness.
- To leverage assembly graphs and long reads for a more robust assembly process.
Main Methods:
- Implemented a streaming assembly pipeline using assembly graphs directly, guided by long reads.
- Utilized Oxford Nanopore Technology (ONT) real-time sequencing data for hybrid assembly.
- Developed a graphical user interface (GUI) for real-time assembly visualization.
Main Results:
- npGraph demonstrated improved accuracy and completeness in genome assembly compared to previous methods.
- The tool maintained low computational costs while processing synthetic and real bacterial isolate genomic data.
- Real-time visualization of assembly progress was provided through the GUI.
Conclusions:
- npGraph offers a more accurate and complete streaming hybrid assembly solution for bacterial genomes.
- The use of assembly graphs and long reads effectively resolves path-finding challenges in genome assembly.
- npGraph provides a valuable tool for researchers needing efficient and accurate genome assembly with real-time feedback.
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