Evidence map›Paper›PMID 27512012›Full record

ArticleThe Plant cell2016

Are We There Yet? Reliably Estimating the Completeness of Plant Genome Sequences.

Elisabeth Veeckman, Tom Ruttink, Klaas Vandepoele

Abstract read
In one paragraph

Article in The Plant cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Genome assembly of the bearded iris,GigaByte (Hong Kong, China) · 2023
    Article
  4. Article
  5. Article
  6. CarrotOmics: a genetics and comparative genomics database for carrot (Daucus carota).Database : the journal of biological databases and curation · 2022
    Article
  7. Article
  8. Strategies of tolerance reflected in two North American maple genomes.The Plant journal : for cell and molecular biology · 2022
    Article
  9. Green plant genomes: What we know in an era of rapidly expanding opportunities.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. FirstGigaByte (Hong Kong, China) · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. High-Throughput Genotyping Technologies in Plant Taxonomy.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. Chromosome-Scale Assembly of Winter Oilseed RapeFrontiers in plant science · 2020
    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

3 authors.

Elisabeth VeeckmanInstitute for Agricultural and Fisheries Research, Plant Sciences Unit, Growth and Development, B-9090 Melle, Belgium Bioinformatics Institute Ghent, Ghent University, B-9052 Ghent, Belgium.ORCID 0000-0003-0510-6317
Tom RuttinkInstitute for Agricultural and Fisheries Research, Plant Sciences Unit, Growth and Development, B-9090 Melle, Belgium Bioinformatics Institute Ghent, Ghent University, B-9052 Ghent, Belgium.ORCID 0000-0002-1012-9399
Klaas VandepoeleBioinformatics Institute Ghent, Ghent University, B-9052 Ghent, Belgium Department of Plant Systems Biology, VIB, Technologiepark 927, B-9052 Ghent, Belgium Department of Plant Biotechnology and Bioinformatics, Ghent University, B-9052 Ghent, Belgium klaas.vandepoele@psb.vib-ugent.be.ORCID 0000-0003-4790-2725

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome sequencing is becoming cheaper and faster thanks to the introduction of next-generation sequencing techniques. Dozens of new plant genome sequences have been released in recent years, ranging from small to gigantic repeat-rich or polyploid genomes. Most genome projects have a dual purpose: delivering a contiguous, complete genome assembly and creating a full catalog of correctly predicted genes. Frequently, the completeness of a species' gene catalog is measured using a set of marker genes that are expected to be present. This expectation can be defined along an evolutionary gradient, ranging from highly conserved genes to species-specific genes. Large-scale population resequencing studies have revealed that gene space is fairly variable even between closely related individuals, which limits the definition of the expected gene space, and, consequently, the accuracy of estimates used to assess genome and gene space completeness. We argue that, based on the desired applications of a genome sequencing project, different completeness scores for the genome assembly and/or gene space should be determined. Using examples from several dicot and monocot genomes, we outline some pitfalls and recommendations regarding methods to estimate completeness during different steps of genome assembly and annotation.

Indexed as

Chromosome MappingGenome, PlantHigh-Throughput Nucleotide SequencingSequence Analysis, DNA

Identifiers

PMID27512012
PMCPMC5006709

What OpenQuestion holds

Textmetadata
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.