immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
Standardise TR/MH/IG data
BASIC: BCR and TCR assembly from single cell RNA-seq
Substitution Profiles Using Related Families
Generation probability, diversity, and simulation for AIRR-seq TCR/BCR repertoires, from graph models of decomposed receptor sequences. Python, C-accelerated.
Machine learning for Immune Repertoires
An implementation of Byzantine Chain Replication for Distributed Systems
A RESTful Library Management System built with FastAPI and PostgreSQL for managing books, members, and borrowing records through efficient CRUD operations.
LIgO is a tool for simulation of adaptive immune receptors and repertoires.
Personalized lymphoma therapy design with Gemma 4, AlphaFold, RFdiffusion. Kaggle Gemma 4 Good Hackathon submission.
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