ReviewGenome biology2025
A survey of sequence-to-graph mapping algorithms in the pangenome era.
Review in Genome biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- HMHLVI: Hybrid Multi-view Hypergraph Learning with Variational Inference for snoRNA-Drug Association Prediction.Interdisciplinary sciences, computational life sciences · 2026Article
- Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026Review
- Article
- Building and applying pangenome references to capture genetic diversity.Nature reviews. Genetics · 2026Review
- A novel Vector-Symbolic Architecture for graph encoding and its application to viral pangenome-based species classification.BioData mining · 2026Article
- Transcriptomic Traces of Noise Exposure in Hearing Loss and Systematic Identification of Biomarker Candidates at the Molecular Scale.International journal of molecular sciences · 2026Article
- The sequence alignment problem: boundary conditions as the unifying principle.Briefings in bioinformatics · 2026Review
- Population-level structural variant characterization using pangenome graphs.Nature genetics · 2026Article
- Dynamics of genome evolution in the era of pangenome analysis.Cell genomics · 2026Review
- Single-cell RNA sequencing data processing using cloud-based serverless computing.GigaByte (Hong Kong, China) · 2026Article
- Elucidating the molecular mechanisms of paeoniflorin intervention in oral lichen planus: a computational biology and bioinformatics-based research strategy.Frontiers in bioinformatics · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
A pangenome can reveal the genetic diversity across different individuals simultaneously. It offers a more comprehensive reference for genome analysis compared to a single linear genome that may introduce allele bias. Pangenomes are often represented as genome graphs, making sequence-to-graph mapping a fundamental task for pangenome construction and analysis. Numerous sequence-to-graph mapping algorithms have been developed over the past few years. Here, we provide a review of the advancements in sequence-to-graph mapping algorithms in the pangenome era. We also discuss the challenges and opportunities that arise in the context of pangenome graphs.
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Identifiers
What OpenQuestion holds
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.