ArticleNucleic acids research2025
BASAL: a universal mapping algorithm for nucleotide base-conversion sequencing.
Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 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
3 citing papers in PubMed.
- Genome-wide profiling of histone modifications and transcription factor binding at single-cell resolution by DeChIC-seq.Cell research · 2026Article
- Weaning drives microbiome-mediated epigenetic regulation to shape immune memory in mice.Nature microbiology · 2026Article
- Direct Sequencing of 5-Methylcytosine and 5-Hydroxymethylcytosine at Single-Base Resolution Unravels Their Distinct Roles in Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
Utilizing base-conversion (BC) techniques, single-base resolution profiling of RNA and DNA modifications has significantly advanced. BC strategies range from one-way conversions (e.g. cytosine-to-thymine for 5-methylcytosine, adenine-to-guanine for N6-methyladenosine), to multi-way conversions (e.g. adenine to cytosine/guanine/thymine for N1-methyladenosine) and deletion-induced conversions (e.g. pseudouridine-to-deletion). Existing sequence aligners struggle with these diverse conversions, often leading to misaligning or inefficiency. We introduce BASAL (BAse-conversion Sequencing ALigner), which leverages bit-masking technology to accurately calculate mismatch penalties and supports all BC strategies. BASAL outperforms state-of-the-art tools in both mapping accuracy and efficiency. Through simulated and real data testing, along with experimental validation, we demonstrate that BASAL excels at identifying reliable modification sites. Moreover, BASAL enhances single-cell m6A analysis, revealing cell subpopulations and a cell evolutionary direction that align with biological functions, which other aligners fall short. BASAL's versatility establishes it as a universal aligner for RNA and DNA modification sequencing, facilitating groundbreaking discoveries in epigenomics and epitranscriptomics.
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Registered trials
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