Evidence map›Paper›PMID 29761457›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

EuPathDB: The Eukaryotic Pathogen Genomics Database Resource.

Susanne Warrenfeltz, Evelina Y Basenko, Kathryn Crouch, Omar S Harb, Jessica C Kissinger, David S Roos, Achchuthan Shanmugasundram, Fatima Silva-Franco

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Next-generation molecular tools in veterinary parasitology: advances, challenges, and perspectives in the diagnosis of emerging parasites.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Biomolecules · 2023
    Article
  15. Article
  16. Article
  17. Major data analysis errors invalidate cancer microbiome findings.bioRxiv : the preprint server for biology · 2023
    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

8 authors.

Susanne WarrenfeltzCenter for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA. swfeltz@uga.edu.
Evelina Y BasenkoCentre for Genomic Research, Institute of Integrative Biology, University of Liverpool, Liverpool, UK.
Kathryn CrouchWellcome Trust Centre for Molecular Parasitology, University of Glasgow, Glasgow, UK.
Omar S HarbDepartment of Biology, University of Pennsylvania, Philadelphia, PA, USA.
Jessica C KissingerCenter for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA.
David S RoosDepartment of Biology, University of Pennsylvania, Philadelphia, PA, USA.
Achchuthan ShanmugasundramCentre for Genomic Research, Institute of Integrative Biology, University of Liverpool, Liverpool, UK.
Fatima Silva-FrancoCentre for Genomic Research, Institute of Integrative Biology, University of Liverpool, Liverpool, UK.

Funding

Wellcome Trust 108443
6 · The paper itself

Abstract

Fighting infections and developing novel drugs and vaccines requires advanced knowledge of pathogen's biology. Readily accessible genomic, functional genomic, and population data aids biological and translational discovery. The Eukaryotic Pathogen Database Resources ( http://eupathdb.org ) are data mining resources that support hypothesis driven research by facilitating the discovery of meaningful biological relationships from large volumes of data. The resource encompasses 13 sites that support over 170 species including pathogenic protists, oomycetes, and fungi as well as evolutionarily related nonpathogenic species. EuPathDB integrates preanalyzed data with advanced search capabilities, data visualization, analysis tools and a comprehensive record system in a graphical interface that does not require prior computational skills. This chapter describes guiding concepts common across EuPathDB sites and illustrates the powerful data mining capabilities of some of the available tools and features.

Indexed as

Databases, GeneticGenomicsAnimalsComputational BiologyData MiningEukaryotic CellsGenome, ProtozoanMetabolic Networks and PathwaysParasitesProteomicsSoftwareTranscriptomeUser-Computer InterfaceWeb BrowserBioinformaticsFungiGenomicsOrthologyParasitePathogenProteomicsSequence analysisTranscriptomics

Identifiers

PMID29761457
PMCPMC7124890

What OpenQuestion holds

Textmetadata
LicenceTDM
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.