Evidence map›Paper›PMID 29106407›Full record

ArticleNature biotechnology2017

Highly accurate fluorogenic DNA sequencing with information theory-based error correction.

Zitian Chen, Wenxiong Zhou, Shuo Qiao, Li Kang, Haifeng Duan, X Sunney Xie, Yanyi Huang

Abstract read
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In one paragraph

Article in Nature biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Methods to improve the accuracy of next-generation sequencing.Frontiers in bioengineering and biotechnology · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Nucleic Acids Analysis.Science China. Chemistry · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. DNA sequencing at ultra-high fidelity.Nature biotechnology · 2017
    Article
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

7 authors.

Zitian ChenBeijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.
Wenxiong ZhouBeijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.
Shuo QiaoBeijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.
Li KangBeijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.
Haifeng DuanBeijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.
X Sunney XieBeijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.
Yanyi HuangBeijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-7297-1266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eliminating errors in next-generation DNA sequencing has proved challenging. Here we present error-correction code (ECC) sequencing, a method to greatly improve sequencing accuracy by combining fluorogenic sequencing-by-synthesis (SBS) with an information theory-based error-correction algorithm. ECC embeds redundancy in sequencing reads by creating three orthogonal degenerate sequences, generated by alternate dual-base reactions. This is similar to encoding and decoding strategies that have proved effective in detecting and correcting errors in information communication and storage. We show that, when combined with a fluorogenic SBS chemistry with raw accuracy of 98.1%, ECC sequencing provides single-end, error-free sequences up to 200 bp. ECC approaches should enable accurate identification of extremely rare genomic variations in various applications in biology and medicine.

Indexed as

AlgorithmsInformation TheoryFluorescent DyesHigh-Throughput Nucleotide SequencingReproducibility of ResultsSequence Analysis, DNAFluorescent Dyes

Identifiers

PMID29106407

What OpenQuestion holds

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Registered trials

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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.