Differential presentation analysis of T cell epitopes associated with autoimmunity
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Updated
Mar 17, 2019 - R
Differential presentation analysis of T cell epitopes associated with autoimmunity
Multimodal immunogenomic biomarker analysis of tumours from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab
A series of R scripts which can be used to 1) generate nonredundant benchmark datasets of paired-chain T cell receptor (TCR) binding data, and 2) visualize the various characteristics of this data.
A Rust accelerated library for annotation and preparing multi-omics data for training deep learning models
R scripts I generated for my capstone project.
An analysis aimed at providing a benchmark of the PIEMA tool for T cell receptor (TCR) structural similarity identification. This analysis also extends PIEMA through the implementation of multiple Logistic Regression classifiers incorporating sequence and structural features to make predictions on shared specificity between TCRs.
Studying the sex differences in the immune response of plasmacytoid dendritic cells (pDCs) under different treatment conditions.
An analysis of innate lymphoid cell (ILC) populations in healthy and disregulated (IBD) gut-associated samples.
From raw dna to 3d representation of human antibodies
filter and identify immunologic targets in the human genome
This GitHub repo supports a project, led by Delphine Galiana. It explores the innate immune response to viral infections, focusing on the role of plasmacytoid dendritic cells (pDCs) and the impact of alternative splicing in their antiviral response.
This Python script generates multi-epitope vaccine constructs by combining permutations of cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), and B cell epitopes. It uses linkers and adjuvants to create unique constructs, which are saved in FASTA format for further analysis.
An elegant virtual crossmatch tool based on machine learning
TCR-pMHC binding affinity prediction challenge; Copenhagen Bioinformatics Hackathon 2021
Open Source python module to enable batch gold particle picking, filtering, processing & statistical modelling of TEM images produced by IGEM (immunogold electron microscopy).
Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties
An improved method for predicting binders of HLA-DRB1-04:01
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