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Toronto Bioinformatics Hackathon

README.md

Welcome to Toronto Bioinformatics Hackathon!

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🎯 September 27 - 29, 2024

The Toronto Bioinformatics Hackathon is a student-led computational biology hackathon, bringing together early career bioinformaticians, molecular biologists, statisticians, and computer scientists from Toronto’s Discovery District to complete interdisciplinary projects that emphasize computational and entrepreneurial thinking.

In partnership with Deep Genomics, the Terrence Donnelly Centre and the Temerty Faculty of Medicine's Computational Biology in Molecular Genetics program, our participants collaborated to propose innovative solutions to key challenges in computational biology with commercialization potential.

🎉 Celebrating a Successful Hackathon

The 2024 Toronto Bioinformatics Hackathon has officially concluded! Over three exciting days, participants came together to build cutting-edge solutions and explore new ideas in computational biology. We witnessed an incredible display of talent, teamwork, and creativity from all involved. A heartfelt thank you to everyone who participated, mentored, or supported the event in any way.

We're already looking forward to next year’s hackathon and hope to see you there!

Our Deepest Gratitude to Our Sponsors

        

        

                 

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  1. rna-expression-from-sequence rna-expression-from-sequence Public

    🥇 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

  2. cite-seq-foundation-model-evaluation cite-seq-foundation-model-evaluation Public

    🥈 Winner of the Runner Up award: Evaluating foundation models for predicting surface protein abundance from RNA expression.

    Jupyter Notebook

  3. disease-susceptibility-analysis disease-susceptibility-analysis Public

    🏆 Winner of the Perseverance award: Create a tool capable of predicting susceptibility to disease in remote or otherwise underserved areas.

    HTML 2

  4. diffusion-deconvolution-dia-msms diffusion-deconvolution-dia-msms Public

    Forked from Roestlab/diffusion-deconvolution-dia-msms-data

    🚀 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 MS…

    Jupyter Notebook

  5. website website Public

    Toronto Bioinformatics Hackathon Website

    HTML

  6. .github .github Public

    Toronto Bioinformatics Hackathon GitHub README

    1

Repositories

Showing 10 of 15 repositories
  • website Public

    Toronto Bioinformatics Hackathon Website

    hackbio-ca/website’s past year of commit activity
    HTML 0 MIT 0 0 0 Updated Oct 15, 2024
  • diffusion-deconvolution-dia-msms Public Forked from Roestlab/diffusion-deconvolution-dia-msms-data

    🚀 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.

    hackbio-ca/diffusion-deconvolution-dia-msms’s past year of commit activity
    Jupyter Notebook 0 BSD-3-Clause 3 0 0 Updated Oct 2, 2024
  • disease-susceptibility-analysis Public

    🏆 Winner of the Perseverance award: Create a tool capable of predicting susceptibility to disease in remote or otherwise underserved areas.

    hackbio-ca/disease-susceptibility-analysis’s past year of commit activity
    HTML 0 2 0 0 Updated Oct 1, 2024
  • cite-seq-foundation-model-evaluation Public

    🥈 Winner of the Runner Up award: Evaluating foundation models for predicting surface protein abundance from RNA expression.

    hackbio-ca/cite-seq-foundation-model-evaluation’s past year of commit activity
    Jupyter Notebook 0 MIT 0 0 0 Updated Oct 1, 2024
  • rna-expression-from-sequence Public

    🥇 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.

    hackbio-ca/rna-expression-from-sequence’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Oct 1, 2024
  • .github Public

    Toronto Bioinformatics Hackathon GitHub README

    hackbio-ca/.github’s past year of commit activity
    1 0 0 0 Updated Sep 30, 2024
  • phix-molecular-docking Public

    A pH-Adaptive Protein-Ligand Simulation Tool to Enhance Molecular Docking Accuracy

    hackbio-ca/phix-molecular-docking’s past year of commit activity
    Python 0 MIT 2 0 0 Updated Sep 29, 2024
  • ai-cancer-cell-labelling Public

    Use deep learning models to automate the identification and labelling of cancer cells in microscopy images, improving diagnostic efficiency and reducing human error.

    hackbio-ca/ai-cancer-cell-labelling’s past year of commit activity
    Python 0 MIT 1 0 0 Updated Sep 29, 2024
  • functional-annotation-genomic-proteomic-data Public

    A tool for comprehensive functional annotation of genes and proteins using sequence similarity, domain identification, and pathway mapping.

    hackbio-ca/functional-annotation-genomic-proteomic-data’s past year of commit activity
    Python 0 MIT 0 0 0 Updated Sep 29, 2024
  • rna-evolution-simulation Public

    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.

    hackbio-ca/rna-evolution-simulation’s past year of commit activity
    0 MIT 0 0 0 Updated Sep 29, 2024
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