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combiz/README.md

Combiz is a full-stack data scientist based in the UK, specializing in bioinformatics and FinTech. With expertise in analyzing multimodal data, he develops comprehensive analytical solutions, including automated pipelines, machine learning models, statistical models, APIs, and visualizations.

His work with open-source software and various other projects can be found here on GitHub. For a deeper dive into his notes and projects, please visit his website.

Recent Highlights

scFlow, an R package toolkit for the analysis of scRNAseq data with higher levels of abstraction. And a Nextflow pipeline, nf-core-scflow, for automated, cloud scalable, reproducible analyses of full scRNAseq datasets using the scFlow toolkit. See the pre-print here or a lay summary here.

     

 

Standard Toolkit

python R NumPy Pandas Jupyter bash C++ linux sklearn PyTorch Keras dagster FastAPI Flask Django Kubernetes Streamlit GCP AWS PySpark dbt SQL MongoDB docker git react svelte html5 css3 javascript illustrator photoshop postman vscode

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  1. scFlow scFlow Public

    Single-cell/nuclei RNA-seq analysis tools in R for a complete workflow.

    R 56 14

  2. nf-core-scflow nf-core-scflow Public

    Complete analysis workflow for single-cell/nuclei RNA-sequencing data.

    Nextflow 7 14

  3. yamlpack yamlpack Public

    En-masse installation of R-packages

    R 20

  4. scFlow-Workshop scFlow-Workshop Public

    Materials for the scFlow Workshop

    HTML 1 1