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    • website

      Public
      Toronto Bioinformatics Hackathon Website
      HTML
      MIT License
      0000Updated Oct 15, 2024Oct 15, 2024
    • 🚀 Winner of the Donnelly Centre Innovation and Commercialization award: Apply diffusion models to deconvolute highly multiplexed DIA-MS/MS data by conditioning on MS1 signals to generate cleaner MS2 data for downstream analysis.
      Jupyter Notebook
      BSD 3-Clause "New" or "Revised" License
      3000Updated Oct 2, 2024Oct 2, 2024
    • 🏆 Winner of the Perseverance award: Create a tool capable of predicting susceptibility to disease in remote or otherwise underserved areas.
      HTML
      2000Updated Oct 1, 2024Oct 1, 2024
    • 🥈 Winner of the Runner Up award: Evaluating foundation models for predicting surface protein abundance from RNA expression.
      Jupyter Notebook
      MIT License
      0000Updated Oct 1, 2024Oct 1, 2024
    • 🥇 Winner of the First Place award: Design a model to predict protein binding affinity to specific DNA sequences using known transcription factors and their binding sites.
      Python
      MIT License
      0000Updated Oct 1, 2024Oct 1, 2024
    • .github

      Public
      Toronto Bioinformatics Hackathon GitHub README
      0100Updated Sep 30, 2024Sep 30, 2024
    • A pH-Adaptive Protein-Ligand Simulation Tool to Enhance Molecular Docking Accuracy
      Python
      MIT License
      2000Updated Sep 29, 2024Sep 29, 2024
    • Use deep learning models to automate the identification and labelling of cancer cells in microscopy images, improving diagnostic efficiency and reducing human error.
      Python
      MIT License
      1000Updated Sep 29, 2024Sep 29, 2024
    • A tool for comprehensive functional annotation of genes and proteins using sequence similarity, domain identification, and pathway mapping.
      Python
      MIT License
      0000Updated Sep 29, 2024Sep 29, 2024
    • Construct a simulation of self-replicating RNA polymers to model their evolution over time and explore the emergence of new functions through selection and mutation processes.
      MIT License
      0000Updated Sep 29, 2024Sep 29, 2024
    • Creating a better understanding of how specific mutations can affect protein function and structure.
      Jupyter Notebook
      MIT License
      0000Updated Sep 29, 2024Sep 29, 2024
    • Construct a model to predict protein-protein interactions using RNA-seq data by identifying co-expressed gene groups and integrating with proteomics data.
      Jupyter Notebook
      MIT License
      0100Updated Sep 29, 2024Sep 29, 2024
    • Develop a method to quantify splice site strength across vertebrate species using computational models to analyze splice site sequences and predict splicing outcomes.
      Jupyter Notebook
      MIT License
      0000Updated Sep 29, 2024Sep 29, 2024
    • GIBSON

      Public
      Mining RNAcentral to identify the relationship between Gibbs free energy of RNA-RNA interactions
      Jupyter Notebook
      0000Updated Sep 29, 2024Sep 29, 2024
    • Develop a tool to simulate and visualize dynamic properties of biological network motifs, enabling researchers to explore the impact of different topologies on cellular processes.
      MIT License
      0000Updated Sep 27, 2024Sep 27, 2024