ArticleGenome biology2025
HAlign-G: rapid and low-memory multiple-genome aligner for large-scale closely related genomes.
Article in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- A Novel Cancer Driver Genes Identification Method Based on Self-Supervised Dual Masked Graph Autoencoder.Interdisciplinary sciences, computational life sciences · 2026Article
- MVFAN-Kcr: A Multi-View Feature Fusion and Attention-Based Network for Lysine Crotonylation Site Identification.Interdisciplinary sciences, computational life sciences · 2026Article
- The next paradigm in bioinformatics: a review of multi-agent systems and foundational models for end-to-end scientific discovery.Briefings in bioinformatics · 2026Review
- Emergence of human monkeypox virus Clade Ib in Madagascar: first genomic evidence of introduction and local transmission.Virology journal · 2026Article
- ProtFormer-Site: Ultra-fast and Accurate Prediction of Protein-Protein Interaction Sites with Protein Language Model.Interdisciplinary sciences, computational life sciences · 2026Article
- HAlign-G: rapid and low-memory multiple-genome aligner for large-scale closely related genomes.Genome biology · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.