The NEW ESID online database network-Reference-Cited by-同舟云学术

The NEW ESID online database network

Published:2019-07-02 Issue:24 Volume:35 Page:5367-5369
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Scheible Raphael¹²^ORCID,Rusch Stephan²³,Guzman David⁴^ORCID,Mahlaoui Nizar⁵,Ehl Stephan²,Kindle Gerhard²³

Affiliation:

1. Institute of Medical Biometry and Statistics

2. Institute for Immunodeficiency, Center for Chronic Immunodeficiency (CCI)

3. Central Facility Biobanking, Faculty of Medicine, Medical Center – University of Freiburg, Freiburg, Germany

4. Department of Computer Science, University College London, London, UK

5. French National Reference Center for Primary Immune Deficiencies (CEREDIH), Necker Enfants Malades University Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France

Abstract

Abstract Summary Primary Immunodeficiencies (PIDs) belong to the group of rare diseases. The European Society for Immunodeficiencies (ESID) operates an international research database application for continuous long-term documentation of patient data. The system is a web application which runs in a standard browser. Therefore, the system is easy to access from any location. Technically, the system is based on Gails backed by MariaDB with high standard security features to comply with the demands of a modern research platform. Availability and implementation The ESID Online Database is accessible via the official website: https://esid.org/Working-Parties/Registry-Working-Party/ESID-Registry. A demo system is available via: https://cci-esid-reg-demo-app.uniklinik-freiburg.de/EERS with user demouser and password Demo-2019.

Funder

ESID society

Plasma Protein Therapeutics Association Europe

European and National Grants

EURO-POLICY-PID

BMBF

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btz525/28928362/btz525.pdf

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