ReviewGenome biology2018
From squiggle to basepair: computational approaches for improving nanopore sequencing read accuracy.
Review in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 356 papers, 2 of them syntheses that pooled it.
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
356 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Diagnostic accuracy of nanopore sequencing for detecting Mycobacterium tuberculosis and drug-resistant strains: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Nanopore Sequencing for Mycobacterium tuberculosis: a Critical Review of the Literature, New Developments, and Future Opportunities.Journal of clinical microbiology · 2022Pooled it
- Nanopore Sequencing for Chikungunya Virus: Principles and Application.Methods in molecular biology (Clifton, N.J.) · 2027Article
- Advanced deep learning strategies in nanopore RNA sequencing.RNA biology · 2026Review
- Review
- Benchmarking of Reference-Based Tools for Strain-Level Resolution of Plant Microbiome.Molecular ecology resources · 2026Article
- Active Human Transposable Elements: Long-Read Sequencing Technologies, Computational Analysis, and Implications for Human Disease.Biomolecules · 2026Review
- Benchmarking of real-time, field-deployable whole-genome sequencing ofMicrobial genomics · 2026Article
- Article
- Genome-wide variation landscape reveals temperature adaptation in Chinese indigenous cattle.Journal of animal science and biotechnology · 2026Article
- Epitranscriptomic Analysis of A-to-I RNA Editing and mInternational journal of molecular sciences · 2026Review
- Evaluation of Dorado v5.2.0 de novo basecalling models for the detection of tRNA modifications using RNA004 chemistry.BMC genomics · 2026Article
- Genestrip: exact and efficient read classification for selected groups of organisms.BMC bioinformatics · 2026Article
- Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes.iMeta · 2026Review
- Barbell reveals and resolves demultiplexing and trimming issues in Nanopore data.Bioinformatics (Oxford, England) · 2026Article
- DamageFormer: a damage-aware multimodal deep learning framework for DNA lesion identification from nanopore sequencing.bioRxiv : the preprint server for biology · 2026Article
- Assessment of DNA Variations From Two In Vivo Skeletal Muscle Disorder Mouse Models Using Complementary Square-Wave Voltammetry and LC-MS/MS Analysis.Chembiochem : a European journal of chemical biology · 2026Article
- Mitogenome characteristics of two Tetragonula stingless bees (Hymenoptera: Apidae) from Hainan, China.Journal of insect science (Online) · 2026Article
- Rapid prenatal CNV detection using nanopore technology.BMC research notes · 2026Article
- Monitoring biological effects of somatic cell genome editing.Nature reviews. Genetics · 2026Review
296 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Nanopore sequencing is a rapidly maturing technology delivering long reads in real time on a portable instrument at low cost. Not surprisingly, the community has rapidly taken up this new way of sequencing and has used it successfully for a variety of research applications. A major limitation of nanopore sequencing is its high error rate, which despite recent improvements to the nanopore chemistry and computational tools still ranges between 5% and 15%. Here, we review computational approaches determining the nanopore sequencing error rate. Furthermore, we outline strategies for translation of raw sequencing data into base calls for detection of base modifications and for obtaining consensus sequences.
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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.