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Updated: May 8, 2026
12:08
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
Assembler for de novo assembly of large genomes
Te-Chin Chu1, Chen-Hua Lu, Tsunglin Liu
1Institute of Information Science, Academia Sinica, Taipei 115, Taiwan.
Summary
JR-Assembler significantly reduces memory and CPU time for large genome assembly. This novel approach enhances assembly quality and efficiency, especially with longer sequencing reads.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Genome assembly from next-generation sequencing (NGS) data demands substantial computational resources.
- Existing assemblers face challenges with memory usage and execution time, particularly for large genomes.
Purpose of the Study:
- To introduce JR-Assembler, an efficient extension-based genome assembler.
- To reduce memory and CPU time requirements for large genome assembly.
Main Methods:
- Utilizes "jumping" extension and read "remapping" strategies.
- Employs read count for seed selection, whole-read extension, dynamic back trimming, and repeat-aware contig breaking.
- Connects low-coverage regions and merges contigs using unused reads.
Main Results:
- JR-Assembler demonstrates comparable or superior assembly quality across various genome sizes.
- Achieves significantly lower memory and CPU time, especially for large genomes.
- Outperforms current assemblers in memory and CPU efficiency with read lengths of 150 bp or longer.
Conclusions:
- JR-Assembler offers an efficient solution for large genome assembly.
- Its performance advantages are expected to grow with increasing read lengths in NGS technology.
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