Community-Driven Data Analysis Training for Biology
2 Erasmus MC - Erasmus University Medical Center [Rotterdam]
3 University of Rostock = Universität Rostock
4 JHU - Johns Hopkins University [Baltimore]
5 Albert-Ludwigs-Universität Freiburg = University of Freiburg
6 IGEPP - Institut de Génétique, Environnement et Protection des Plantes
7 Plateforme bioinformatique GenOuest [Rennes]
8 ABIMS - ABiMS - Informatique et bioinformatique = Analysis and Bioinformatics for Marine Science
9 SBR - Station biologique de Roscoff = Roscoff Marine Station
10 Penn State - Pennsylvania State University [State College, PA]
11 Hub Bioinformatique et Biostatistique - Bioinformatics and Biostatistics HUB
12 EMBL-EBI - European Bioinformatics Institute [Hinxton]
13 University of Melbourne
14 FMI - Friedrich Miescher Institute for Biomedical Research
15 University of Minnesota Medical School
16 MPI-IE - Max Planck Institute of Immunobiology and Epigenetics
17 Earlham Institute [Norwich]
18 FBN - Leibniz Institute for Farm Animal Biology
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- IdHAL : berenice-batut
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- IdHAL : anthony-bretaudeau
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Résumé
The primary problem with the explosion of biomedical datasets is not the data, not computational resources, and not the required storage space, but the general lack of trained and skilled researchers to manipulate and analyze these data. Eliminating this problem requires development of comprehensive educational resources. Here we present a community-driven framework that enables modern, interactive teaching of data analytics in life sciences and facilitates the development of training materials. The key feature of our system is that it is not a static but a continuously improved collection of tutorials. By coupling tutorials with a web-based analysis framework, biomedical researchers can learn by performing computation themselves through a web browser without the need to install software or search for example datasets. Our ultimate goal is to expand the breadth of training materials to include fundamental statistical and data science topics and to precipitate a complete re-engineering of undergraduate and graduate curricula in life sciences. This project is accessible at https://training.galaxyproject.org.