Cited by 12Genomics and Phylogenetic StudiesAlgorithms and Data CompressionFractal and DNA sequence analysis

HAlign-G: rapid and low-memory multiple-genome aligner for large-scale closely related genomes

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Zhang, Pinglu, Zhou, Tong, Wei, Yanming, Tian, Qinzhong, Zhai, Yixiao, Wang, Yizheng, Zou, Quan, Tang, Furong +1 more·2025·Genome Biology

Abstract

HAlign-G is a fast and memory-efficient tool for large-scale multiple genome alignment. Using BWT-FM-LIS with an optimized K-band algorithm and star alignment strategy, it supports intra-species (HAlign-G1) and cross-species (HAlign-G2) alignment. Benchmarks show superior accuracy, efficiency, and memory use compared with existing methods. HAlign-G1 excels in speed and quality for intra-species data for multiple sequence alignment, while HAlign-G2 offers higher accuracy and structural variant detection for multiple genome alignment. Both versions handle millions of SARS-CoV-2 genomes and thousands of human chromosomes, enabling reliable evolutionary studies and supporting the construction of more stable phylogenetic trees, while enhancing Progressive Cactus performance.

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  • In evolutionary genomics, agentic pipelines can coordinate large-scale comparative analyses, automatically integrating genome alignments, phylogenetic inference, and functional annotation across thousands of species, while reflecting on inconsistencies between sequence-based and structure-based evolutionary signals.

    “In evolutionary genomics, agentic pipelines can coordinate large-scale comparative analyses, automatically integrating genome alignments, phylogenetic inference, and functional annotation across thousands of species, while reflecting on inconsistencies between sequence-based and structure-based evolutionary signals [4].”

    From The next paradigm in bioinformatics: a review of multi-agent systems and foundational models for end-to-end scientific discovery (2026) · cites this paper as [4]

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References 55 · Cited by 12

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Authors
Zhang, P., Zhou, T., Wei, Y., Tian, Q., Zhai, Y., Wang, Y., Zou, Q., Tang, F., & Luo, X.
Affiliations
  • University of Electronic Science and Technology of China (CN)
  • Xidian University (CN)
  • Wenzhou Medical University (CN)
Corresponding author
  • Tang, Furong
  • Luo, Ximei
Venue
Genome Biology
Published
2025-11-28
Volume
26
Issue
1
Pages
406-406
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
OpenAlex
W4416790249
Cited by
12
References
55
Citations by year
2026: 11 · 2025: 1
FWCI
3.61
Type
journal article
Language
en
Open access
Locations
  • Genome biology (publishedVersion, cc-by-nc-nd)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • National Natural Science Foundation of China (62450002, 62425107, 62371347, 62271353, 62571375)
  • Zhejiang Provincial Natural Science Foundation of China (LD24F020004)
  • Municipal Government of Quzhou (2024D001)
  • Fellowship of China Postdoctoral Science Foundation (2023M731984, GZB20230365, 2024T170498)
  • Zhongguancun Academy projects (20240310)
  • Zhongguancun Academy project (20240101)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Physical Sciences › Computer Science › Artificial Intelligence › Algorithms and Data Compression
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fractal and DNA sequence analysis
Keywords
multiple genome alignment, STAR alignment, structural variant calling, SARS-CoV-2 genome, human chromosomes, phylogenetic tree construction, memory-efficient alignment
MeSH terms
SARS-CoV-2, Algorithms, Humans, Phylogeny, Software, Sequence Alignment, Genome, Viral, Genomics

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