Evidence map›Paper›PMID 19814784›Full record

ArticleGenome biology2009

Genomic DNA k-mer spectra: models and modalities.

Benny Chor, David Horn, Nick Goldman, Yaron Levy, Tim Massingham

Abstract read
In one paragraph

Article in Genome biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing 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

115 citing papers in PubMed.

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  18. Investigating DNA words and their distributions across the tree of life.Computational and structural biotechnology journal · 2025
    Article
  19. Article
  20. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review

55 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

5 authors.

Benny ChorSchool of Computer Science, Tel Aviv University, Klausner St, Ramat-Aviv, Tel-Aviv 39040, Israel. benny@cs.tau.ac.il
David Horn
Nick Goldman
Yaron Levy
Tim Massingham

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe empirical frequencies of DNA k-mers in whole genome sequences provide an interesting perspective on genomic complexity, and the availability of large segments of genomic sequence from many organisms means that analysis of k-mers with non-trivial lengths is now possible.

resultsWe have studied the k-mer spectra of more than 100 species from Archea, Bacteria, and Eukaryota, particularly looking at the modalities of the distributions. As expected, most species have a unimodal k-mer spectrum. However, a few species, including all mammals, have multimodal spectra. These species coincide with the tetrapods. Genomic sequences are clearly very complex, and cannot be fully explained by any simple probabilistic model. Yet we sought such an explanation for the observed modalities, and discovered that low-order Markov models capture this property (and some others) fairly well.

conclusionsMultimodal spectra are characterized by specific ranges of values of C+G content and of CpG dinucleotide suppression, a range that encompasses all tetrapods analyzed. Other genomes, like that of the protozoa Entamoeba histolytica, which also exhibits CpG suppression, do not have multimodal k-mer spectra. Groupings of functional elements of the human genome also have a clear modality, and exhibit either a unimodal or multimodal behaviour, depending on the two above mentioned values.

Indexed as

Models, GeneticAnimalsBase CompositionChickensComputer SimulationCpG IslandsDNAGenomeHumansMarkov ChainsZebrafishDNA

Identifiers

PMID19814784
PMCPMC2784323

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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.