Evidence map›Paper›PMID 27580854›Full record

ArticleBMC genomics2016

Inversion symmetry of DNA k-mer counts: validity and deviations.

Sagi Shporer, Benny Chor, Saharon Rosset, David Horn

Abstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Regions Enriched with Reverse Complement Triplets in Bacterial Genomes.International journal of molecular sciences · 2026
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  9. Amino AcidBiology · 2020
    Article
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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

4 authors.

Sagi ShporerBlavatnik School of Computer Science, Tel Aviv University, Tel Aviv, 69978, Israel.
Benny ChorBlavatnik School of Computer Science, Tel Aviv University, Tel Aviv, 69978, Israel.
Saharon RossetSackler School of Mathematical Sciences, Tel Aviv University, Tel Aviv, 69978, Israel.
David HornSackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, 69978, Israel. horn@tau.ac.il.ORCID 0000-0003-2708-186X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe generalization of the second Chargaff rule states that counts of any string of nucleotides of length k on a single chromosomal strand equal the counts of its inverse (reverse-complement) k-mer. This Inversion Symmetry (IS) holds for many species, both eukaryotes and prokaryotes, for ranges of k which may vary from 7 to 10 as chromosomal lengths vary from 2Mbp to 200 Mbp. The existence of IS has been demonstrated in the literature, and other pair-wise candidate symmetries (e.g. reverse or complement) have been ruled out.

resultsStudying IS in the human genome, we find that IS holds up to k = 10. It holds for complete chromosomes, also after applying the low complexity mask. We introduce a numerical IS criterion, and define the k-limit, KL, as the highest k for which this criterion is valid. We demonstrate that chromosomes of different species, as well as different human chromosomal sections, follow a universal logarithmic dependence of KL ~ 0.7 ln(L), where L is the length of the chromosome. We introduce a statistical IS-Poisson model that allows us to apply confidence measures to our numerical findings. We find good agreement for large k, where the variance of the Poisson distribution determines the outcome of the analysis. This model predicts the observed logarithmic increase of KL with length. The model allows us to conclude that for low k, e.g. k = 1 where IS becomes the 2(nd) Chargaff rule, IS violation, although extremely small, is significant. Studying this violation we come up with an unexpected observation for human chromosomes, finding a meaningful correlation with the excess of genes on particular strands.

conclusionsOur IS-Poisson model agrees well with genomic data, and accounts for the universal behavior of k-limits. For low k we point out minute, yet significant, deviations from the model, including excess of counts of nucleotides T vs A and G vs C on positive strands of human chromosomes. Interestingly, this correlates with a significant (but small) excess of genes on the same positive strands.

Indexed as

Chromosomes, HumanDNAHumansModels, GeneticPoisson DistributionDNAChromosome k-mer distributionsGeneralized Chargaff rulesInversion symmetry

Identifiers

PMID27580854
PMCPMC5006273

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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.