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Notebook examples for reproducing two usecases using GPU-enabled Jupyterlab in Galaxy Europe

  1. Notebooks 1-6: Reproduce analysis from paper https://www.sciencedirect.com/science/article/pii/S2666990021000069 using notebook itself and via remote training

Citation:

Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka,
COVID TV-Unet: Segmenting COVID-19 chest CT images using connectivity imposed Unet,
Computer Methods and Programs in Biomedicine Update,Volume 1,2021,100007,ISSN 2666-9900,https://doi.org/10.1016/j.cmpbup.2021.100007.
(https://www.sciencedirect.com/science/article/pii/S2666990021000069)
  1. Notebook 7: Reproduce protein 3D structure prediction from paper: https://www.biorxiv.org/content/10.1101/2021.08.15.456425v1

Citation:

ColabFold - Making protein folding accessible to all
Milot Mirdita, Sergey Ovchinnikov, Martin Steinegger
bioRxiv 2021.08.15.456425; doi: https://doi.org/10.1101/2021.08.15.456425

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