Evidence map›Paper›PMID 23710727›Full record

ArticleGenome biology2013

REAPR: a universal tool for genome assembly evaluation.

Martin Hunt, Taisei Kikuchi, Mandy Sanders, Chris Newbold, Matthew Berriman, Thomas D Otto

Abstract read
In one paragraph

Article in Genome biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 234 papers.

0numbers the graph read from it
0cells of the map it votes in
234citing 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

234 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Unraveling the Genome Diversity ofLife (Basel, Switzerland) · 2025
    Review
  8. Article
  9. Current Approaches in Genome Assembly of Human Fungal Pathogens.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

174 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

6 authors.

Martin Hunt
Taisei Kikuchi
Mandy Sanders
Chris Newbold
Matthew Berriman
Thomas D Otto

Funding

Wellcome Trust 082130/Z/07/ZWellcome Trust 098051
6 · The paper itself

Abstract

Methods to reliably assess the accuracy of genome sequence data are lacking. Currently completeness is only described qualitatively and mis-assemblies are overlooked. Here we present REAPR, a tool that precisely identifies errors in genome assemblies without the need for a reference sequence. We have validated REAPR on complete genomes or de novo assemblies from bacteria, malaria and Caenorhabditis elegans, and demonstrate that 86% and 82% of the human and mouse reference genomes are error-free, respectively. When applied to an ongoing genome project, REAPR provides corrected assembly statistics allowing the quantitative comparison of multiple assemblies. REAPR is available at http://www.sanger.ac.uk/resources/software/reapr/.

Indexed as

AlgorithmsGenomeAnimalsBacteriaCaenorhabditis elegansGenomicsHumansModels, StatisticalSequence Analysis, DNA

Identifiers

PMID23710727
PMCPMC3798757

What OpenQuestion 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 OpenQuestion graph.