This is a project which is currently making use of HPC facilities at Newcastle University. It is active.
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This project utilizes high-performance computing to investigate the molecular mechanisms of human immunity, focusing on myeloid haematopoiesis and immunodeficiency. We study how specific genetic mutations disrupt normal cellular differentiation pathways, ultimately leading to clinical primary immunodeficiencies. By dissecting these developmental blocks, this research aims to understand dendritic cell developmental pathways and uncover novel biological mechanisms driving immune disorders.
This project primarily relies on high-throughput, parallelised bioinformatics pipelines to process large-scale single-cell genomics data, specifically single-cell RNA-seq and ATAC-seq datasets. Our workflow utilizes cellranger for raw sequencing data processing, and R/Python-based ecosystems including Seurat/Signac and Scanpy/scVI for data integration and downstream analysis. These tools leverage multi-threading for parallel sample alignment, large matrix data integration, and neural-network acceleration for scVI-based probabilistic modeling.