Data & code repository for the article "Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation"

  • Angela Serra (Creator)
  • Michele Fratello (Creator)
  • Antonio Federico (Creator)
  • Ravi Ojha (University of Helsinki) (Creator)
  • Riccardo Provenzani (University of Helsinki) (Creator)
  • Ervin Tasnadi (Bolyai Institute, University of Szeged) (Creator)
  • Luca Cattelani (Creator)
  • Giusy del Giudice (Creator)
  • Pia Kinaret (Creator)
  • Laura Saarimäki (Creator)
  • Alisa Pavel (Creator)
  • Suvi Kuivanen (Creator)
  • Vincenzo Cerullo (Creator)
  • Olli Vapalahti (Creator)
  • Peter Horvath (Creator)
  • Antonio Di Lieto (Creator)
  • Jari Yli-Kauhaluoma (Creator)
  • Giuseppe Balistreri (University of Helsinki) (Creator)
  • Dario Greco (Creator)

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    This repository contains the code, the data and the microscope raw images of the analysis described in the paper: "Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation" "code_data.tar.gz" contains the source code and data of each step of the analysis. Each subfolder corresponds to a step and is named based on the execution order using an increasing number (steps with the same number do not depend on each other and can be executed in any order) "syncytia_images.tar.gz" contains the raw images used to train the deep learning segmentation model
    Koska saatavilla7 lokak. 2021
    JulkaisijaZenodo

    Field of science, Statistics Finland

    • 3111 Biolääketieteet

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