Evidence map›Paper›PMID 18071028›Full record

ArticleGenome research2008

Resolving the structural features of genomic islands: a machine learning approach.

Georgios S Vernikos, Julian Parkhill

Abstract readComparative Study
In one paragraph

Article in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Current Methods for Recombination Detection in Bacteria.International journal of molecular sciences · 2022
    Review
  7. Article
  8. Article
  9. Genomic Island Prediction via Chi-Square Test and Random Forest Algorithm.Computational and mathematical methods in medicine · 2021
    Article
  10. Article
  11. International journal of molecular sciences · 2020
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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.

Georgios S VernikosThe Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom.
Julian Parkhill

Funding

Wellcome Trust
6 · The paper itself

Abstract

Large inserts of horizontally acquired DNA that contain functionally related genes with limited phylogenetic distribution are often referred to as genomic islands (GIs), and structural definitions of these islands, based on common features, have been proposed. Although a large number of mobile elements fall well within the GI definition, there are several concerns about the structural consensus for GIs: The current GI definition was put forward 10 yr ago when only 12 complete bacterial genomes were available, a large number of GIs deviate from that definition, and in silico predictions assuming a full/partial GI structural model bias the sampling of the GI structural space toward "well-structured" GIs. In this study, the structural features of genomic regions are sampled by a hypothesis-free, bottom-up search, and these are exploited in a machine learning approach with the aim of explicitly quantifying and modeling the contribution of each feature to the GI structure. Performing a whole-genome-based comparative analysis between 37 strains of three different genera and 12 outgroup genomes, 668 genomic regions were sampled and used to train structural GI models. The data show that, overall, GIs from the three different genera fall into distinct, genus-specific structural families. However, decreasing the taxa resolution, by studying GI structures across different genus boundaries, provides models that converge on a fairly similar GI structure, further suggesting that GIs can be seen as a superfamily of mobile elements, with core and variable structural features, rather than a well-defined family.

Indexed as

AlgorithmsArtificial IntelligenceModels, GeneticPhylogenyBacteriaCluster AnalysisComputational BiologyGenomic IslandsLikelihood FunctionsSpecies Specificity

Identifiers

PMID18071028
PMCPMC2203631

What OpenQuestion holds

Textmetadata
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.