Evidence map›Paper›PMID 26072512›Full record

ArticleBioinformatics (Oxford, England)2015

Misassembly detection using paired-end sequence reads and optical mapping data.

Martin D Muggli, Simon J Puglisi, Roy Ronen, Christina Boucher

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Complete genome sequence of the biocontrol agent Serratia marcescens strain N4-5 uncovers an assembly artefact.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Article
  6. Optical map guided genome assembly.BMC bioinformatics · 2020
    Article
  7. Article
  8. Advances in optical mapping for genomic research.Computational and structural biotechnology journal · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Succinct colored de Bruijn graphs.Bioinformatics (Oxford, England) · 2017
    Article
  16. OMSim: a simulator for optical map data.Bioinformatics (Oxford, England) · 2017
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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.

Martin D MuggliDepartment of Computer Science, Colorado State University, Fort Collins, CO 80526, USA, Department of Computer Science, University of Helsinki, Finland and Bioinformatics Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.
Simon J PuglisiDepartment of Computer Science, Colorado State University, Fort Collins, CO 80526, USA, Department of Computer Science, University of Helsinki, Finland and Bioinformatics Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.
Roy RonenDepartment of Computer Science, Colorado State University, Fort Collins, CO 80526, USA, Department of Computer Science, University of Helsinki, Finland and Bioinformatics Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.
Christina BoucherDepartment of Computer Science, Colorado State University, Fort Collins, CO 80526, USA, Department of Computer Science, University of Helsinki, Finland and Bioinformatics Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Colorado Clinical and Translational Sciences InstituteKL2TR001080 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$2.6M
Colorado Clinical and Translational Sciences InstituteTL1TR001081 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$1.3M
NCATS NIH HHS KL2 TR001080NCATS NIH HHS KL2TR001080NCATS NIH HHS TL1 TR001081NCATS NIH HHS TL1TR001081NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1TR001082
6 · The paper itself

Abstract

motivationA crucial problem in genome assembly is the discovery and correction of misassembly errors in draft genomes. We develop a method called misSEQuel that enhances the quality of draft genomes by identifying misassembly errors and their breakpoints using paired-end sequence reads and optical mapping data. Our method also fulfills the critical need for open source computational methods for analyzing optical mapping data. We apply our method to various assemblies of the loblolly pine, Francisella tularensis, rice and budgerigar genomes. We generated and used stimulated optical mapping data for loblolly pine and F.tularensis and used real optical mapping data for rice and budgerigar.

resultsOur results demonstrate that we detect more than 54% of extensively misassembled contigs and more than 60% of locally misassembled contigs in assemblies of F.tularensis and between 31% and 100% of extensively misassembled contigs and between 57% and 73% of locally misassembled contigs in assemblies of loblolly pine. Using the real optical mapping data, we correctly identified 75% of extensively misassembled contigs and 100% of locally misassembled contigs in rice, and 77% of extensively misassembled contigs and 80% of locally misassembled contigs in budgerigar. AVAILABILITY AND IMPLEMENTATION: misSEQuel can be used as a post-processing step in combination with any genome assembler and is freely available at http://www.cs.colostate.edu/seq/.

Indexed as

AlgorithmsSoftwareAnimalsComputational BiologyContig MappingFrancisella tularensisGenomeMelopsittacusOryzaPinusSequence Analysis, DNA

Identifiers

PMID26072512
PMCPMC4542784

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.