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eagle-i ID


Resource Type

  1. Database


  1. Related Software
    Strategies WDK
  2. Resource Description
    "EuPathDB (formerly ApiDB) is an integrated database covering the eukaryotic pathogens in the genera <i>Acanthamoeba, Annacaliia, Babesia, Crithidia, Cryptosporidium, Edhazardia, Eimeria, Encephalitozoon, Endotrypanum, Entamoeba, Enterocytozoon, Giardia, Gregarina, Hamiltosporidium, Leishmania, Nematocida, Neospora, Nosema, Plasmodium, Theileria, Toxoplasma, Trichomonas, Trypanosoma and Vavraia, Vittaforma</i>. While each of these groups is supported by a taxon-specific database built upon the same infrastructure, the EuPathDB portal offers an entry point to all of these resources, and the opportunity to leverage orthology for searches across genera. The EuPathDB databases are funded by NIAID and they have strict guidelines as to which organisms we can support. EuPathDB is one of four NIH funded bioinformatics resource centers. Mainly we are to incorporate any eukaryotic pathogen that is deemed emerging or re-emerging (see list). We also have some organisms that are not on the list, those were either added in the past on the behest of the community and additional funding (such as TrichDB), organisms that are related to emerging or re-emerging pathogen (such as Plasmodium or Neospora) and the trypanosomatids (funded as a pilot project by the Bill and Melinda Gates foundation). The EuPathDB family of databases is expected to expand further over the coming years, incorporating new species including the Amoebozoa (Entamoeba, Acanthamoebs), Microsporidia, and additional Apicomplexans, Kinetoplastida and Diplomonads. Of course, we continue collecting data that are being deposited at an ever-increasing rate, including additional genome sequences, microarray data, probe-based hybridization and sequencing data (e.g. ChIP-chip and RNA-Seq), proteomics data, isolate data, phenotype information and metabolomic data." EuPathDB was developed jointly with Cristina Aurrecoechea<sup>1</sup>, Dave Falke<sup>1</sup>, Alan Gingle<sup>3</sup>, Mark Heiges<sup>1</sup>, Jessica C. Kissinger<sup>1,2,5</sup>, Eileen T. Kraemer<sup>4</sup>, Ganesh Srinivasamoorthy<sup>1</sup>, Haiming Wang<sup>1</sup>, Susanne Warrenfeltz<sup>1</sup>, and Betsy Wenthe<sup>1</sup> from the <b><sup>1</sup>Center for Tropical & Emerging Global Diseases, University of Georgia, <sup>2</sup>Department of Genetics, University of Georgia, <sup>3</sup>Center for Applied Genetic Technologies, University of Georgia, <sup>4</sup>Department of Computer Science, University of Georgia,</b> and <b><sup>5</sup>Institute of Bioinformatics, University of Georgia</b>.
  3. Used by
    Computational Biology and Informatics Laboratory
  4. Data Input
  5. Data Input
  6. Data Input
    ChIP-chip data
  7. Data Input
    ChIP-Seq data
  8. Data Input
  9. Data Input
    Microarray data
  10. Data Input
    RNA-Seq data
  11. Data Input
    RT-PCR data
  12. Data Input
    SAGE tags
  13. Data Input
    Proteomics data
  14. Data Input
  15. Topic
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  21. Topic
  22. Topic
    parasitic protozoa infectious disease
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  28. Topic
  29. Related Publication or Documentation
    ApiDB: integrated resources for the apicomplexan bioinformatics resource center
  30. Related Publication or Documentation
    EuPathDB: the eukaryotic pathogen database
  31. Website(s)
  32. Developed by
    Stoeckert, Christian J Jr., PhD
  33. Developed by
    Grant, Gregory R., Ph.D.
  34. Developed by
    Roos, David S., Ph.D.
  35. Developed by
    Brunk, Brian P., PhD
  36. Developed by
    Fischer, Steve
  37. Developed by
    Iodice, John
  38. Developed by
    Harb, Omar S., PhD
  39. Developed by
    Barreto, Ana
  40. Developed by
    Brestelli, John E., MS
  41. Developed by
    Cade, Ja'Shon
  42. Developed by
    Doherty, Ryan
  43. Developed by
    Gajria, Bindu
  44. Developed by
    Hu, Sufen
  45. Developed by
    Li, Wei
  46. Developed by
    Pinney, Deborah F
  47. Developed by
    Winkelman, Mariann
Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016