HAlign-G: rapid and low-memory multiple-genome aligner for large-scale closely related genomes
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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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- 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
- PMC
- PMC12664224
- OpenAlex
- W4416790249
- Cited by
- 12
- References
- 55
- Citations by year
- 2026: 11 · 2025: 1
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- 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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