Description
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
| Date made available | 7 Oct 2021 |
|---|---|
| Publisher | Zenodo |
Field of science, Statistics Finland
- 3111 Biomedicine
Research output
- 1 Article
-
Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation
Serra, A., Fratello, M., Federico, A., Ojha, R., Provenzani, R., Tasnadi, E., Cattelani, L., Del Giudice, G., Kinaret, P. A. S., Saarimäki, L. A., Pavel, A., Kuivanen, S., Cerullo, V., Vapalahti, O., Horvath, P., Lieto, A. D., Yli-Kauhaluoma, J., Balistreri, G. & Greco, D., Jan 2022, In: Briefings in Bioinformatics. 23, 1, 20 p., bbab507.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile16 Citations (Scopus)47 Downloads (Pure)
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