Evidence map›Paper›PMID 30737442›Full record

ArticleScientific reports2019

Introduction of 'Generalized Genomic Signatures' for the quantification of neighbour preferences leads to taxonomy- and functionality-based distinction among sequences.

Konstantinos Apostolou-Karampelis, Dimitris Polychronopoulos, Yannis Almirantis

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Discovery of novel treponemes associated with pododermatitis in elk (Applied and environmental microbiology · 2024
    Article
  3. 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

3 authors.

Konstantinos Apostolou-KarampelisInstitute of Biosciences and Applications, National Center for Scientific Research "Demokritos", 15310, Athens, Greece.
Dimitris PolychronopoulosGenomics England, Charterhouse Square, London, EC1M 6BQ, UK.ORCID 0000-0001-9427-3082
Yannis AlmirantisInstitute of Biosciences and Applications, National Center for Scientific Research "Demokritos", 15310, Athens, Greece. yalmir@bio.demokritos.gr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of DNA composition at several length scales constitutes the bulk of many early studies aimed at unravelling the complexity of the organization and functionality of genomes. Dinucleotide relative abundances are considered an idiosyncratic feature of genomes, regarded as a 'genomic signature'. Motivated by this finding, we introduce the 'Generalized Genomic Signatures' (GGSs), composed of over- and under-abundances of all oligonucleotides of a given length, thus filtering out compositional trends and neighbour preferences at any shorter range. Previous works on alignment-free genomic comparisons mostly rely on k-mer frequencies and not on distance-dependent neighbour preferences. Therein, nucleotide composition and proximity preferences are combined, while in the present work they are strictly separated, focusing uniquely on neighbour relationships. GGSs retain the potential or even outperform genomic signatures defined at the dinucleotide level in distinguishing between taxonomic subdivisions of bacteria, and can be more effectively implemented in microbial phylogenetic reconstruction. Moreover, we compare DNA sequences from the human genome corresponding to protein coding segments, conserved non-coding elements and non-functional DNA stretches. These classes of sequences have distinctive GGSs according to their genomic role and degree of conservation. Overall, GGSs constitute a trait characteristic of the evolutionary origin and functionality of different genomic segments.

Indexed as

AnimalsBacteriaBase SequenceConserved SequenceDNAEvolution, MolecularGenomicsHumansPhylogenyRNA, UntranslatedSequence Analysis, DNADNARNA, Untranslated

Identifiers

PMID30737442
PMCPMC6368578

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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.