Scalable Genomic Pipeline Optimization with Nextflow and Singularity
An engineering deep-dive into resolving dependency conflicts and compute scaling bottlenecks in biomedical data workflows using Nextflow and containerization.
An engineering deep-dive into resolving dependency conflicts and compute scaling bottlenecks in biomedical data workflows using Nextflow and containerization.
Applied bioinformatics and health-data support for research groups, startups, and clinical innovation teams working with reproducible analytical workflows.
How Graph Attention Networks work, why they matter for biological structure, and how to prototype them with PyTorch Geometric.
How user privileges, filesystem mounts, and scheduler constraints make Docker a poor default in HPC and why Apptainer remains the better execution model.
How to structure channels, processes, and configuration so your first Nextflow pipeline is production-ready instead of tutorial-only.
How to design a cluster-friendly scRNA-seq workflow for QC, normalization, dimensionality reduction, and clustering without exhausting memory.