Toronto Bioinformatics Hackathon 2024: Calling all early career scientists! Come create interdisciplinary projects involving bioinformatics, biology, statistics, and computer science - Devpost

Predicting mRNA Expression from mRNA Sequences — Predicting mRNA Expression from mRNA Sequences

A computation approach to predict RNA expression in mouse brain cells

Diffusion Deconvolution of DIA-MS/MS Data — Diffusion Deconvolution of DIA-MS/MS Data

This project applies diffusion models to deconvolute complex DIA-MS/MS data. It aims to use MS1 data to condition a model that can denoise multiplexed MS2 signals, simulating cleaner MS2 data.

Predicting Local Disease Susceptibility with RNA-Seq Data — Predicting Local Disease Susceptibility with RNA-Seq Data

The project aims to create a tool to predict susceptibility to disease in remote or otherwise underserved area, by analyzing environmental and climate data and predicting disease susceptibility.

Predicting Alzimer Causing Mutations in Females — Predicting Alzimer Causing Mutations in Females

Developing a model to predict whether a genetic sequence contains mutations associated with Alzheimer's disease, helping to advance research and early detection.

pHix Molecular Docking — pHix Molecular Docking

pHix enhances molecular docking by adjusting protein and ligand structures to user-defined pH, an overlooked critical factor, ensuring accurate predictions and reliable insights for drug research.

AI Breast Cancer Image Annotation — AI Breast Cancer Image Annotation

Our project runs microscopy images through a CNN machine learning model to determine whether a type of malignant breast cancer (Invasive Ductal Carcinoma) is present in the sample.

bioJanitors — bioJanitors

We crunch data fast, to make plastic’s the past! A project to discover novel high-efficiency plastic-degrading enzymes through Computational Biology.

Functional Annotation for Genomic and Proteomic Data — Functional Annotation for Genomic and Proteomic Data

The goal of this project is to explore pathways to better understand orphan proteins that are uncharacterised in order to investigate causes of tumor cells and other diseases.

Co-expression Bridge — Co-expression Bridge

Integrating transcriptomics and proteomics data by bridging the gap between RNA-seq coexpression matrices with protein-protein interaction networks.

Simulating RNA Evolution — Simulating RNA Evolution

The evolution of self-replicating RNA has never been computationally studied. Here, we provide insight into population-level patterns of RNA function and shape as mutations arise.

splice-site-strength-quantification — splice-site-strength-quantification

Splice site strength is a critical determinant in the accurate recognition and processing of pre-mRNA during splicing, a process that plays a pivotal role in gene expression regulation.

Surface protein abundance prediction from RNA expression — Surface protein abundance prediction from RNA expression

Evaluating foundation models on CITE-seq data for RNA sequences and abundances

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