Evidence map›Paper›PMID 27646134›Full record

ReviewGenomics, proteomics & bioinformatics2016

Oxford Nanopore MinION Sequencing and Genome Assembly.

Hengyun Lu, Francesca Giordano, Zemin Ning

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 386 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
386citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

386 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Draft Genome Assembly and Differential Expression ofPlants (Basel, Switzerland) · 2026
    Article
  6. Article
  7. International journal of molecular sciences · 2026
    Review
  8. Draft genome sequence ofMicrobiology resource announcements · 2026
    Article
  9. Anti-CRISPR-mediated continuous directed evolution of CRISPR-Cas9 in human cells.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  10. Article
  11. Draft genome sequence of the peptaibol producerMicrobiology resource announcements · 2026
    Article
  12. Article
  13. Article
  14. Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

326 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hengyun LuNational Centre of Gene Research, Chinese Academy of Sciences, Shanghai 200233, China.
Francesca GiordanoThe Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Zemin NingThe Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK. Electronic address: zn1@sanger.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

The revolution of genome sequencing is continuing after the successful second-generation sequencing (SGS) technology. The third-generation sequencing (TGS) technology, led by Pacific Biosciences (PacBio), is progressing rapidly, moving from a technology once only capable of providing data for small genome analysis, or for performing targeted screening, to one that promises high quality de novo assembly and structural variation detection for human-sized genomes. In 2014, the MinION, the first commercial sequencer using nanopore technology, was released by Oxford Nanopore Technologies (ONT). MinION identifies DNA bases by measuring the changes in electrical conductivity generated as DNA strands pass through a biological pore. Its portability, affordability, and speed in data production makes it suitable for real-time applications, the release of the long read sequencer MinION has thus generated much excitement and interest in the genomics community. While de novo genome assemblies can be cheaply produced from SGS data, assembly continuity is often relatively poor, due to the limited ability of short reads to handle long repeats. Assembly quality can be greatly improved by using TGS long reads, since repetitive regions can be easily expanded into using longer sequencing lengths, despite having higher error rates at the base level. The potential of nanopore sequencing has been demonstrated by various studies in genome surveillance at locations where rapid and reliable sequencing is needed, but where resources are limited.

Indexed as

Genome, HumanHigh-Throughput Nucleotide SequencingHumansNanoporesRepetitive Sequences, Nucleic AcidSequence Analysis, DNADe novo assemblyMolecular clinical diagnosticsOxford nanopore MinION deviceStructural variationsThird-generation sequencing

Identifiers

PMID27646134
PMCPMC5093776

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.