Evidence map›Paper›PMID 24930142›Full record

ArticleBioinformatics (Oxford, England)2014

Evaluation and validation of de novo and hybrid assembly techniques to derive high-quality genome sequences.

Sagar M Utturkar, Dawn M Klingeman, Miriam L Land, Christopher W Schadt, Mitchel J Doktycz, Dale A Pelletier, Steven D Brown

Abstract readValidation Study
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
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  9. Mining of key genes for cold adaptation fromFrontiers in microbiology · 2023
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  10. Hybrid Genomic Analysis ofMicroorganisms · 2022
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  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

2 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

7 authors.

Sagar M UtturkarGraduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Dawn M KlingemanGraduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Miriam L LandGraduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Christopher W SchadtGraduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Mitchel J DoktyczGraduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Dale A PelletierGraduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.
Steven D BrownGraduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA Graduate School of Genome Science and Technology, University of Tennessee, Knoxville, TN 37919, USA and Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

motivationTo assess the potential of different types of sequence data combined with de novo and hybrid assembly approaches to improve existing draft genome sequences.

resultsIllumina, 454 and PacBio sequencing technologies were used to generate de novo and hybrid genome assemblies for four different bacteria, which were assessed for quality using summary statistics (e.g. number of contigs, N50) and in silico evaluation tools. Differences in predictions of multiple copies of rDNA operons for each respective bacterium were evaluated by PCR and Sanger sequencing, and then the validated results were applied as an additional criterion to rank assemblies. In general, assemblies using longer PacBio reads were better able to resolve repetitive regions. In this study, the combination of Illumina and PacBio sequence data assembled through the ALLPATHS-LG algorithm gave the best summary statistics and most accurate rDNA operon number predictions. This study will aid others looking to improve existing draft genome assemblies. AVAILABILITY AND IMPLEMENTATION: All assembly tools except CLC Genomics Workbench are freely available under GNU General Public License. CONTACT: brownsd@ornl.gov SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

AlgorithmsBase SequenceComputational BiologyContig MappingDNA, BacterialDNA, RibosomalGenomicsReproducibility of ResultsSequence Analysis, DNADNA, BacterialDNA, Ribosomal

Identifiers

PMID24930142
PMCPMC4173024

What OpenQuestion holds

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LicenceCC BY
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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.