Evidence map›Paper›PMID 27903906›Full record

ArticleNucleic acids research2017

EuPathDB: the eukaryotic pathogen genomics database resource.

Cristina Aurrecoechea, Ana Barreto, Evelina Y Basenko, John Brestelli, Brian P Brunk, Shon Cade, Kathryn Crouch, Ryan Doherty, Dave Falke, Steve Fischer and 20 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers.

0numbers the graph read from it
0cells of the map it votes in
123citing 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

123 citing papers in PubMed.

  1. Trial
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  11. Mutational analysis of an antimalarial drug target,Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
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  20. Review

63 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

30 authors.

Cristina AurrecoecheaCenter for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
Ana BarretoInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Evelina Y BasenkoCenter for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
John BrestelliInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Brian P BrunkInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Shon CadeDepartment of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Kathryn CrouchWellcome Trust Centre for Molecular Parasitology, University of Glasgow, Glasgow G12 8TA, UK.
Ryan DohertyInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Dave FalkeCenter for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
Steve FischerInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Bindu GajriaInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Omar S HarbInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA oharb@sas.upenn.edu.
Mark HeigesCenter for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
Christiane Hertz-FowlerCentre for Genomic Research, University of Liverpool, Liverpool L69 7ZB, UK.
Sufen HuInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
John IodiceInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jessica C KissingerCenter for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
Cris LawrenceInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Wei LiInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Deborah F PinneyInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Jane A PulmanCentre for Genomic Research, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
David S RoosDepartment of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Achchuthan ShanmugasundramCentre for Genomic Research, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Fatima Silva-FrancoCentre for Genomic Research, Institute of Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.
Sascha SteinbissWellcome Trust Sanger Institute, Parasite Genomics, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.ORCID 0000-0002-2151-0574
Christian J StoeckertInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Drew SpruillCenter for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
Haiming WangCenter for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
Susanne WarrenfeltzCenter for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.
Jie ZhengInstitute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.

Funding

NIAID NIH HHS HHSN272201400030CWellcome Trust 108443/Z/15/ZWellcome Trust WT085822MA
6 · The paper itself

Abstract

The Eukaryotic Pathogen Genomics Database Resource (EuPathDB, http://eupathdb.org) is a collection of databases covering 170+ eukaryotic pathogens (protists & fungi), along with relevant free-living and non-pathogenic species, and select pathogen hosts. To facilitate the discovery of meaningful biological relationships, the databases couple preconfigured searches with visualization and analysis tools for comprehensive data mining via intuitive graphical interfaces and APIs. All data are analyzed with the same workflows, including creation of gene orthology profiles, so data are easily compared across data sets, data types and organisms. EuPathDB is updated with numerous new analysis tools, features, data sets and data types. New tools include GO, metabolic pathway and word enrichment analyses plus an online workspace for analysis of personal, non-public, large-scale data. Expanded data content is mostly genomic and functional genomic data while new data types include protein microarray, metabolic pathways, compounds, quantitative proteomics, copy number variation, and polysomal transcriptomics. New features include consistent categorization of searches, data sets and genome browser tracks; redesigned gene pages; effective integration of alternative transcripts; and a EuPathDB Galaxy instance for private analyses of a user's data. Forthcoming upgrades include user workspaces for private integration of data with existing EuPathDB data and improved integration and presentation of host-pathogen interactions.

Indexed as

Databases, GeneticEukaryotaMetagenomeSoftwareComputational BiologyDNA Copy Number VariationsGene Expression ProfilingGenomicsHost-Pathogen InteractionsMetagenomicsProteomicsWeb Browser

Identifiers

PMID27903906
PMCPMC5210576

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.