Evidence map›Paper›PMID 25517223›Full record

ArticleNature communications2014

High-quality genome (re)assembly using chromosomal contact data.

Hervé Marie-Nelly, Martial Marbouty, Axel Cournac, Jean-François Flot, Gianni Liti, Dante Poggi Parodi, Sylvie Syan, Nancy Guillén, Antoine Margeot, Christophe Zimmer and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing 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

83 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The Bioinformatic Applications of Hi-C and Linked Reads.Genomics, proteomics & bioinformatics · 2024
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

23 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

11 authors.

Hervé Marie-Nelly1] Institut Pasteur, Department of Genomes and Genetics, Groupe Régulation Spatiale des Génomes, 75015 Paris, France [2] CNRS, UMR 3525, 75015 Paris, France [3] Institut Pasteur, Unité Imagerie et Modélisation, 75015 Paris, France [4] CNRS, URA 2582, 75015 Paris, France [5] Sorbonne Universités, UPMC Univ Paris06, IFD, 4 place Jussieu, 75252 Paris, France.
Martial Marbouty1] Institut Pasteur, Department of Genomes and Genetics, Groupe Régulation Spatiale des Génomes, 75015 Paris, France [2] CNRS, UMR 3525, 75015 Paris, France.
Axel Cournac1] Institut Pasteur, Department of Genomes and Genetics, Groupe Régulation Spatiale des Génomes, 75015 Paris, France [2] CNRS, UMR 3525, 75015 Paris, France.
Jean-François FlotMax Planck Institute for Dynamics and Self-Organization, Group Biological Physics and Evolutionary Dynamics, Bunsenstr. 10, 37073 Göttingen, Germany.
Gianni LitiInstitute for Research on Cancer and Ageing of Nice (IRCAN), CNRS UMR 7284-INSERM U108, Université de Nice Sophia Antipolis, 06107 Nice, France.
Dante Poggi Parodi1] Sorbonne Universités, UPMC Univ Paris06, IFD, 4 place Jussieu, 75252 Paris, France [2] IFP Energies Nouvelles, 1 et 4 avenue de Bois-Préau, 92852 Rueil-Malmaison, France.
Sylvie SyanInstitut Pasteur, Unité Cell Biology of Parasitism, 75015 Paris, France.
Nancy GuillénInstitut Pasteur, Unité Cell Biology of Parasitism, 75015 Paris, France.
Antoine MargeotIFP Energies Nouvelles, 1 et 4 avenue de Bois-Préau, 92852 Rueil-Malmaison, France.
Christophe Zimmer1] Institut Pasteur, Unité Imagerie et Modélisation, 75015 Paris, France [2] CNRS, URA 2582, 75015 Paris, France.
Romain Koszul1] Institut Pasteur, Department of Genomes and Genetics, Groupe Régulation Spatiale des Génomes, 75015 Paris, France [2] CNRS, UMR 3525, 75015 Paris, France.

Funding

European Research Council 260822European Research Council 322790
6 · The paper itself

Abstract

Closing gaps in draft genome assemblies can be costly and time-consuming, and published genomes are therefore often left 'unfinished.' Here we show that genome-wide chromosome conformation capture (3C) data can be used to overcome these limitations, and present a computational approach rooted in polymer physics that determines the most likely genome structure using chromosomal contact data. This algorithm--named GRAAL--generates high-quality assemblies of genomes in which repeated and duplicated regions are accurately represented and offers a direct probabilistic interpretation of the computed structures. We first validated GRAAL on the reference genome of Saccharomyces cerevisiae, as well as other yeast isolates, where GRAAL recovered both known and unknown complex chromosomal structural variations. We then applied GRAAL to the finishing of the assembly of Trichoderma reesei and obtained a number of contigs congruent with the know karyotype of this species. Finally, we showed that GRAAL can accurately reconstruct human chromosomes from either fragments generated in silico or contigs obtained from de novo assembly. In all these applications, GRAAL compared favourably to recently published programmes implementing related approaches.

Indexed as

AlgorithmsChromosomes, FungalChromosomes, HumanGenomeModels, StatisticalContig MappingHigh-Throughput Nucleotide SequencingHumansKaryotypeSaccharomyces cerevisiaeSequence Analysis, DNATrichoderma

Identifiers

PMID25517223
PMCPMC4284522

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.