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rboz1/README.md
  • 👋 Hi, I’m Rachel
  • 👀 I’m a Bioinformatics Master’s student with a background in the wet-lab and work experience in Python and Illumina Next Generation DNA Sequencing!
  • 🧪 Currently experimenting with: Seurat and scikit-learn
  • 📫 How to reach me [email protected]

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  1. supervised_classifier supervised_classifier Public

    A supervised learning script using scikit-learn that classifies prostate cancer gene expression data into early and late stage cancer.

    Jupyter Notebook

  2. rshiny_app rshiny_app Public

    This Shiny app provides an interactive interface to analyze gene expression data through various modules, including data summary, counts matrix processing, differential expression analysis, and tra…

    R

  3. analyze_GFF_features analyze_GFF_features Public

    Downloads the GFF feature files of a user-specified human chromosome from ENSEMBL. Returns the counts of all features of the specific chromosome and top 10 transcripts with highest number of exon, …

    Shell

  4. snp_calling_workflow snp_calling_workflow Public

    A SNP-Calling Workflow for genes involved in Alzheimer's using Snakemake.

    Python