e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Immune gene discovery by expressed sequence tag analysis of spleen in the duck (Anas platyrhynchos)


To search for immune relevant genes of the duck we have conducted an expressed sequence tag (EST) project. Duck immune genes are relevant to disease resistance in agriculture and in intervention in avian influenza outbreaks through vaccination of ducks. We sequenced 3168 clones from a spleen cDNA library of a White Pekin duck, Anas platyrhynchos. We constructed an EST analysis pipeline enabling (1) quality checking and clustering, (2) identification based on BLAST results, (3) annotation using Gene Ontology, and (4) submission to the dbEST database. In total, 208 genes were relevant to the duck immune system, which we have divided into categories: (1) leukocyte receptors, (2) lectin-like immunoreceptors, (3) cytokines and chemokines, (4) transcription factors (5) mediators of antigen processing or apoptosis, and (6) innate effectors. We compared 425 homologous sequences between the duck and the closest genetic model organism, chicken. Homologous genes had regions sharing 80 to 99 percent nucleotide identity, however immune-relevant genes were less conserved than other genes. (c) 2006 Elsevier Ltd. All rights reserved.

  • CA
  • Univ_Alberta (CA)
Data keywords
  • ontology
Agriculture keywords
  • agriculture
Data topic
  • big data
  • semantics
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Univ_Alberta (CA)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.