Evidence map›Paper›PMID 22419490›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2012

Amplified fragment length polymorphism: an invaluable fingerprinting technique for genomic, transcriptomic, and epigenetic studies.

Ovidiu Paun, Peter Schönswetter

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Chinese Domestic Ducks Evolved from Mallard Duck (Animals : an open access journal from MDPI · 2023
    Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Amplified Fragment Length Polymorphism: Applications and Recent Developments.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  8. Review
  9. Genome-wide nuclear data confirm two species in the Alpine endemic land snailJournal of zoological systematics and evolutionary research = Zeitschrift fur zoologische Systematik und Evolutionsforschung · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. TallPeerJ · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. 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

2 authors.

Ovidiu PaunDepartment for Systematic and Evolutionary Botany, University of Vienna, Vienna, Austria. ovidiu.paun@univie.ac.at
Peter Schönswetter

Funding

Austrian Science Fund FWF P 22260
6 · The paper itself

Abstract

Amplified fragment length polymorphism (AFLP) is a PCR-based technique that uses selective amplification of a subset of digested DNA fragments to generate and compare unique fingerprints for genomes of interest. The power of this method relies mainly in that it does not require prior information regarding the targeted genome, as well as in its high reproducibility and sensitivity for detecting polymorphism at the level of DNA sequence. Widely used for plant and microbial studies, AFLP is employed for a variety of applications, such as to assess genetic diversity within species or among closely related species, to infer population-level phylogenies and biogeographic patterns, to generate genetic maps, and to determine relatedness among cultivars. Variations of standard AFLP methodology have been also developed for targeting additional levels of diversity, such as transcriptomic variation and DNA methylation polymorphism.

Indexed as

EpigenomicsAmplified Fragment Length Polymorphism AnalysisBase SequenceDNA FingerprintingGenomicsPhylogenyPolymorphism, GeneticPolymorphism, Restriction Fragment Length

Identifiers

PMID22419490
PMCPMC3513352

What OpenQuestion holds

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LicenceTDM
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.