a comprehensive repository designed to empower researchers, scientists, and enthusiasts in the fields of bioinformatics and biotechnology. This repository serves as a one-stop destination for a myriad of invaluable resources, ranging from insightful guides and cutting-edge research papers to informative podcasts, web tools, and efficient workflows

Single source of documentation for all sub-team members of UBC iGEM!

Explainable AI system for HIV drug resistance prediction using ensemble machine learning and SHAP-based genomic interpretability. HIVゲノム配列から薬剤耐性を予測し、SHAP解析による説明可能AIを実現する次世代バイオインフォマティクスシステム。

A growing collection of synthetic biology simulations focused on gene circuits, parameter sweeps, and system modeling using Tellurium, Antimony, and Python.