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Home Pathology Portal Genetics and Genomics Molecular pathology of cancer and application in cancer diagnosis, screening, and treatment Genomic and cellular markers and optimal treatment regimes in haematological cancer and solid tumours.
Genomic and cellular markers and optimal treatment regimes in haematological cancer and solid tumours.
Pathology Portal

EurOPDX Data Portal: a repository of patient-derived xenograft models

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The newEurOPDX Research Infrastructure (RI), funded by the European Union Horizon 2020 programme, aims to improve cancer drug development success rates through the enablement of collaborative cancer research using patient-derived xenograft (PDX) models. In particular, we are developing efficient and user-friendly IT tools to optimise access to, and data searching of the collection of PDX models and their clinical, molecular and pharmacological annotations. We will be presenting the EurOPDX RI and the possibilities of access to PDX models, as well as the functionalities of theEurOPDX Data Portal, with the objective to support future applicants to our PDX access grant programme.

Who is this course for?

This webinar is for individuals who are working with patient-derived xenograft models in the context of cancer drug discovery. No prior knowledge of bioinformatics is required but an undergraduate-level knowledge of biology is recommended. No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology would be useful.

DOI: 10.6019/TOL.EurOPDX-w.2019.00001.1

Resource details

Contributed by: Pathology Portal
Authored by: Milie Vinolo, Seeding Science SPRL, The European Molecular Biology Laboratory-European Bioinformatics Institute's (EMBL-EBI).
Enzo Medico, University of Torino, Candiolo Cancer Institute IRCCS, The European Molecular Biology Laboratory-European Bioinformatics Institute's (EMBL-EBI).
Mahesh Prahladan, Pathology Portal
Licence: © All rights reserved More information on licences
First contributed: 09 May 2024
Audience access level: General user

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