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  • Translational Genomics (TGX)
  • Maastricht University, The Netherlands

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ShakiraAgata/README.md

Shakira Agata-profile


My name is Shakira and I am a master student at Maastricht University with a natural interest and curiosity for using programming and creativity in my work. My work ranges from the conversion of information into data and the application of analytical tools to the development of pipelines that uncover solutions and surprising patterns within large datasets that might otherwise go unnoticed. I enjoy improving and blending my technical skills in Python and R with creativity to present data-driven insights and stories that add value in decision-making and drive innovation in science, business, and technology.

  • ❤ Contributing to Open Source software.

Tech stack

GIF description

Current Learning

  • Deepening my knowledge in programming workflows
  • Exploring website building techniques (Javascript and CSS)
  • Improving in Python, R and SQL for design of scientific workflows and data analysis

      • languages graph



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    1. ShakiraAgata ShakiraAgata Public

    2. Personal-Project-Investigating-backward-compatibility-of-an-outdated-Affymetrix-pipeline Personal-Project-Investigating-backward-compatibility-of-an-outdated-Affymetrix-pipeline Public

      This repository focused on the usage of a Microarray pipeline called ArrayAnalysis. It is intended to be viewed from the HTML webpage on a computer.

    3. GSEApy-vs-fGSEA-comparison GSEApy-vs-fGSEA-comparison Public

      Dual Python and R notebook that compares ouput for two methods of Gene Set Enrichment Analysis (GSEA) of GSEApy and fGSEA. The webpage version is available at the link below:

    4. Interactive-Epigenetic-AOP-network-application Interactive-Epigenetic-AOP-network-application Public

      This personal project aims to show the available epigenetic-related AOPs from AOP-Wiki in network-format.

      JavaScript