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natalie-23-gill/README.md

Hi there 👋 I'm Natalie Gill

Bioinformatician with a passion for leveraging statistics, machine learning, and computer science to analyze complex biological data.

About Me

I work across single-cell omics, ChIP-seq,WGS/WES, and multi-omics integration, with a focus on high-dimensional biological data. I build reusable tools and open-source software for the research community, because good science deserves reliable, well-documented tools.

Featured Projects

Project Description
clustOpt R package for optimizing Seurat clustering resolution via cross-validation and random forests. Presented at ISMB/ECCB 2025.
supremo_lite Lightweight, model-agnostic Python tool for analyzing genetic variant effects on DNA sequences.
GeneSet_Translator Interactive knowledge graph explorer for discovering DE gene and disease relationships via NCATS Translator APIs, with network visualization and AI-assisted interpretation.

Primary Languages and Tools:

r python typescript bash rstudio jupyter vscode

Infrastructure and Platforms:

docker git plotly streamlit quarto snakemake nextflow apptainer slurm


Connect

🌐 natbytes.com · 🦋 Bluesky · 💼 LinkedIn

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  1. gladstone-institutes/clustOpt gladstone-institutes/clustOpt Public

    Optimizing the resolution parameter for Seurat's FindClusters

    R 2 1

  2. gladstone-institutes/supremo_lite gladstone-institutes/supremo_lite Public

    A lightweight memory first implementation of SuPreMo

    Python

  3. gladstone-institutes/GeneSet_Translator gladstone-institutes/GeneSet_Translator Public

    Streamlit application for multi-gene TRAPI query integration with NetworkX clustering and LLM-assisted exploration using Cytoscape.js visualization.

    Jupyter Notebook 1 1