Evidence map›Paper›PMID 26200753›Full record

ArticleDatabase : the journal of biological databases and curation2015

Pre_GI: a global map of ontological links between horizontally transferred genomic islands in bacterial and archaeal genomes.

Rian Pierneef, Louis Cronje, Oliver Bezuidt, Oleg N Reva

Abstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Genomic Analysis ofFrontiers in microbiology · 2017
    Article
  12. 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

4 authors.

Rian PierneefBioinformatics and Computational Biology Unit, Department of Biochemistry, University of Pretoria, Pretoria, Gauteng 0002, South Africa.
Louis CronjeBioinformatics and Computational Biology Unit, Department of Biochemistry, University of Pretoria, Pretoria, Gauteng 0002, South Africa.
Oliver BezuidtBioinformatics and Computational Biology Unit, Department of Biochemistry, University of Pretoria, Pretoria, Gauteng 0002, South Africa.
Oleg N RevaBioinformatics and Computational Biology Unit, Department of Biochemistry, University of Pretoria, Pretoria, Gauteng 0002, South Africa oleg.reva@up.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Predicted Genomic Islands database (Pre_GI) is a comprehensive repository of prokaryotic genomic islands (islands, GIs) freely accessible at http://pregi.bi.up.ac.za/index.php. Pre_GI, Version 2015, catalogues 26 744 islands identified in 2407 bacterial/archaeal chromosomes and plasmids. It provides an easy-to-use interface which allows users the ability to query against the database with a variety of fields, parameters and associations. Pre_GI is constructed to be a web-resource for the analysis of ontological roads between islands and cartographic analysis of the global fluxes of mobile genetic elements through bacterial and archaeal taxonomic borders. Comparison of newly identified islands against Pre_GI presents an alternative avenue to identify their ontology, origin and relative time of acquisition. Pre_GI aims to aid research on horizontal transfer events and materials through providing data and tools for holistic investigation of migration of genes through ecological niches and taxonomic boundaries.

Indexed as

Databases, Nucleic AcidGene OntologyGene Transfer, HorizontalGenome, ArchaealGenome, BacterialArchaeaBacteria

Identifiers

PMID26200753
PMCPMC5630688

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.