Evidence map›Paper›PMID 22689760›Full record

ArticleBioinformatics (Oxford, England)2012

SEQuel: improving the accuracy of genome assemblies.

Roy Ronen, Christina Boucher, Hamidreza Chitsaz, Pavel Pevzner

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Buffering updates enables efficient dynamic de Bruijn graphs.Computational and structural biotechnology journal · 2021
    Article
  4. Article
  5. Graph Traversal Edit Distance and Extensions.Journal of computational biology : a journal of computational molecular cell biology · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Complete Assembly of the Genome of anFrontiers in microbiology · 2019
    Article
  10. Article
  11. Article
  12. Conversion of Methionine to Cysteine inFrontiers in microbiology · 2018
    Article
  13. Article
  14. The Antibody Repertoire of Colorectal Cancer.Molecular & cellular proteomics : MCP · 2017
    Article
  15. Succinct colored de Bruijn graphs.Bioinformatics (Oxford, England) · 2017
    Article
  16. Genome Sequence of "Genome announcements · 2017
    Article
  17. Assembly of long error-prone reads using de Bruijn graphs.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Roy RonenBioinformatics Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.
Christina Boucher
Hamidreza Chitsaz
Pavel Pevzner

Funding

CENTER FOR COMPUTATIONAL MASS-SPECTROMETRYP41RR024851 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2008 to 2011
$5.2M
NCRR NIH HHS 3P41RR024851-02S1NCRR NIH HHS P41 RR024851
6 · The paper itself

Abstract

motivationAssemblies of next-generation sequencing (NGS) data, although accurate, still contain a substantial number of errors that need to be corrected after the assembly process. We develop SEQuel, a tool that corrects errors (i.e. insertions, deletions and substitution errors) in the assembled contigs. Fundamental to the algorithm behind SEQuel is the positional de Bruijn graph, a graph structure that models k-mers within reads while incorporating the approximate positions of reads into the model.

resultsSEQuel reduced the number of small insertions and deletions in the assemblies of standard multi-cell Escherichia coli data by almost half, and corrected between 30% and 94% of the substitution errors. Further, we show SEQuel is imperative to improving single-cell assembly, which is inherently more challenging due to higher error rates and non-uniform coverage; over half of the small indels, and substitution errors in the single-cell assemblies were corrected. We apply SEQuel to the recently assembled Deltaproteobacterium SAR324 genome, which is the first bacterial genome with a comprehensive single-cell genome assembly, and make over 800 changes (insertions, deletions and substitutions) to refine this assembly. AVAILABILITY: SEQuel can be used as a post-processing step in combination with any NGS assembler and is freely available at http://bix.ucsd.edu/SEQuel/.

Indexed as

Genome, BacterialAlgorithmsComputational BiologyContig MappingEscherichia coliINDEL MutationSequence Analysis, DNA

Identifiers

PMID22689760
PMCPMC3371851

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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.