ArticleBiophysical journal2012
DNA base-calling from a nanopore using a Viterbi algorithm.
Article in Biophysical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 93 citations in OpenAlex.
- Review
- Improving All-Atom Molecular Dynamics Models for Quantitative Prediction of Nanopore Blockade Current.bioRxiv : the preprint server for biology · 2026Article
- Nanopore direct RNA sequencing and the epitranscriptome: Advances in mapping native RNA landscapes.iMeta · 2026Review
- Rawsamble: overlapping raw nanopore signals using a hash-based seeding mechanism.Bioinformatics (Oxford, England) · 2026Article
- Low power reprogrammable DNA basecaller with an efficient HMM accelerator for real time nanopore sequencing.Scientific reports · 2026Article
- Uncovering Hidden Protein Conformations with High Bandwidth Nanopore Measurements.Nano letters · 2026Article
- Computational analysis of DNA methylation from long-read sequencing.Nature reviews. Genetics · 2025Review
- Nanopore-Aware Embedded Detection for Mobile DNA Sequencing: A Viterbi-HMM Design Versus Deep Learning Approaches.Biosensors · 2025Article
- Enzymatic synthesis and nanopore sequencing of 12-letter supernumerary DNA.Nature communications · 2023Article
- Beyond assembly: the increasing flexibility of single-molecule sequencing technology.Nature reviews. Genetics · 2023Review
- Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Neural Network Nanopore Readout Processing.Nano letters · 2022Article
- Modification mapping by nanopore sequencing.Frontiers in genetics · 2022Review
- Applications and potentials of nanopore sequencing in the (epi)genome and (epi)transcriptome era.Innovation (Cambridge (Mass.)) · 2021Review
- Uncertainties in synthetic DNA-based data storage.Nucleic acids research · 2021Review
- High-Fidelity Capture, Threading, and Infinite-Depth Sequencing of Single DNA Molecules with a Double-Nanopore System.ACS nano · 2020Article
- Wavelet Denoising of High-Bandwidth Nanopore and Ion-Channel Signals.Nano letters · 2019Article
- Nanocall: an open source basecaller for Oxford Nanopore sequencing data.Bioinformatics (Oxford, England) · 2017Article
- Reading the primary structure of a protein with 0.07 nmNature nanotechnology · 2016Article
- Real-time selective sequencing using nanopore technology.Nature methods · 2016Article
- Graphene Nanopores for Protein Sequencing.Advanced functional materials · 2016Article
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 at 2 institutions in 1 country.
Funding
Abstract
Nanopore-based DNA sequencing is the most promising third-generation sequencing method. It has superior read length, speed, and sample requirements compared with state-of-the-art second-generation methods. However, base-calling still presents substantial difficulty because the resolution of the technique is limited compared with the measured signal/noise ratio. Here we demonstrate a method to decode 3-bp-resolution nanopore electrical measurements into a DNA sequence using a Hidden Markov model. This method shows tremendous potential for accuracy (~98%), even with a poor signal/noise ratio.
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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.