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Kimmiecc19/README.md

Hi, I'm Kimberly (she/her) 👋

🎓 About Me

I'm a PhD student in Bioinformatics and Computational Biology at Stellenbosch University in the beautiful city of Cape Town, South Africa. My research is centered on the integration of multi-omics data, with a focus on Amyotrophic Lateral Sclerosis (ALS) as a disease model. My work involves leveraging cutting-edge tools like Nextflow, R, and Python to unravel complex biological questions.

🔬 My Research

I’m passionate about the intersection of bioinformatics and computational biology, and my research interests are wide-ranging. Some examples are rare diseases, exploring multi-omics approaches, or addressing the reproducibility crisis in science. Basically, I’m always eager to learn and contribute.

💻 Projects

Here are two of my recent projects that you might find interesting:

  • Reproducibility crisis in Proteomics: This project tackles the reproducibility crisis in proteomics, providing scripts in both R and Python to search for available proteomics tools and compare them.
  • RareInsight: A user-friendly dashboard, similar to ClinVar Miner, designed to facilitate rare disease research and data exploration.
  • My PhD project (top secret)

🌱 Collaboration & Interests

I’m always open to collaborations that challenge me to grow and learn. If you’re working on something that aligns with my interests in rare diseases, multi-omics, or bioinformatics, or if you have a completely new area to explore, I’d love to connect!

📫 Get in Touch

The best way to reach me is through LinkedIn. Let’s connect and explore how we can work together!

Popular repositories Loading

  1. rareinsight rareinsight Public

    Forked from omicscodeathon/rareinsight

    RareInsight: Developing a rare disease report generator for clinicians and patients

    R 1

  2. fasta_prep fasta_prep Public

    Downloading HRP and contaminants fasta files and adding contaminants to HRP fasta file.

    Python

  3. reproteomics reproteomics Public

    Forked from omicscodeathon/reproteomics

    The Lack of Reproducible Science in Proteomics Analyses

    Python

  4. Kimmiecc19 Kimmiecc19 Public