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Labs of the 2020/21 "Biostatistica Computazionale e Bioinformatica" course, MS in Statistical Sciences, University of Padova (in Italian)

Labs of the 2020/21 "Biostatistica Computazionale e Bioinformatica" course, MS in Statistical Sciences, University of Padova (in Italian)

Labs of the 2020/21 "Biostatistica Computazionale e Bioinformatica" course, MS in Statistical Sciences, University of Padova (in Italian)

Labs of the 2020/21 "Biostatistica Computazionale e Bioinformatica" course, MS in Statistical Sciences, University of Padova (in Italian)

Template project to join s2s-ai-challenge

Website: https://s2s-ai-challenge.github.io/

Overview: https://renkulab.io/gitlab/aaron.spring/s2s-ai-challenge/-/wikis/Flow-of-information:-Where-do-I-find-what%3F

Serial Crystallography (SX) involves the processing of thousands of diffraction patterns in random orientations. To compile a complete data set, these patterns must be indexed, integrated, and merged. Herein, we introduce TORO (Torch-Powered Robust Optimization) Indexer, a robust, adaptable, and performant indexing algorithm. Developed using the PyTorch framework, TORO Indexer can operate on GPUs, CPUs, TPUs, and other accelerators supported by PyTorch, ensuring it adapts to a broad range of computational setups. On a modern NVIDIA A100 GPU, TORO achieves an indexing speed of 250 images/s.

WSBIM bioinformatics curriculum

Bio334 (at UZH) - Practical Bioinformatics Spring Semester 2020

Bio334 (at UZH) - Practical Bioinformatics Spring Semester 2020

A bioconductor-based project.

Combine public data sources together into one project.

Accompanying data for paper Plasticity and ductility of an anisotropic recrystallized AA2198 Al-Cu-Li alloy in T3 and T8 conditions during proportional and non-proportional loading paths: simulations and experiments

NeuroBrown

How to install R packages

GIS Python