Evidence map›Paper›PMID 20395967›Full record

ReviewNature reviews. Microbiology2010

Detecting genomic islands using bioinformatics approaches.

Morgan G I Langille, William W L Hsiao, Fiona S L Brinkman

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers.

0numbers the graph read from it
0cells of the map it votes in
140citing 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

140 citing papers in PubMed.

  1. Comparative genomics revealsApplied and environmental microbiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Comparative genomics of 'Microbial genomics · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Safety Assessment ofMicroorganisms · 2025
    Article
  12. Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Isolation of a VirulentCurrent issues in molecular biology · 2024
    Article
  18. Article
  19. Article
  20. Article

80 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

3 authors.

Morgan G I LangilleUC Davis Genome Center, University of California, Davis, One Shields Avenue, Davis, California 95616, USA.
William W L Hsiao
Fiona S L Brinkman

Funding

CIHR
6 · The paper itself

Abstract

Bacterial genomes contain clusters of genes that are acquired by horizontal transfer, called genomic islands (GIs). GIs are frequently associated with microbial adaptations that are of medical and environmental interest, and they have had a substantial impact on bacterial evolution. Therefore, there is growing interest in efficiently identifying GIs in newly sequenced bacterial genomes. Several computational methods for detecting GIs have been developed recently, presenting researchers with a myriad of choices. Here, we discuss the limitations and benefits of the main approaches that are available and present guidelines to aid researchers in effectively identifying these important genomic regions.

Indexed as

Genome, BacterialGenomic IslandsBacteriaComputational BiologyDatabases, GeneticGenomicsVirulence

Identifiers

PMID20395967

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.